Podcasts about Starburst

May the fourth be with you all on another Star Wars Day. This year we discuss the return of Darth Maul in Star Wars: The Clone Wars. We discuss season 4 episode 21 "Brothers", season 4 episode 22 "Revenge" and season 5 episode 1 "Revival". The conversation covers fan service, duplicitous talking snakes and spider leg rehabilitation. Craig McKenzie can be found on this very site and over on We Are Starfleet on the We Made This podcast network. Angus Ballantine can be found on this very site and over on SoundCloud. Andrew's work can be found on this site and on the Starburst website. Show Notes Reviews Craig's review of Star Wars: Episode VII – The Force Awakens Craig's review of Star Wars: Episode VIII – The Last Jedi Craig's review of Star Wars: Episode IX – The Rise of Skywalker Craig's review of Rogue One: A Star Wars Story Craig's Review of Solo: A Star Wars Story Craig's reviews of Star Wars: Rebels Podcasts Star Wars: Episode I – The Phantom Menace Star Wars: Episode II – Attack of the Clones Star Wars: Episode III – Revenge of the Sith Star Wars: Episode IV – A New Hope Star Wars: Episode V – The Empire Strikes Back Star Wars: Episode VI – Return of the Jedi Star Wars: Episode VII – The Force Awakens Star Wars: Episode VIII – The Last Jedi – first podcast and second podcast Star Wars: Episode IX – The Rise of Skywalker Rogue One: A Star Wars Story – first podcast and second podcast Solo: A Star Wars Story The Mandalorian season 2 Star Wars: The Clone Wars final season Obi Wan Kenobi The Ewok Movies Star Wars: The Clone Wars (movie) Andor season 1 Misc Sam Witwer as Captain Kirk in "Unification" Music Ian Wright's cover of the “Star Wars theme” and his YouTube channel 331ERock's cover of the “Star Wars End Credits Theme” and his YouTube channel If you enjoyed what you heard here, please subscribe to Kneel Before Pod. If you have any feedback then we'd love to hear it. You can find us on Facebook ,Twitter and BlueSky. You can also make yourself known in the comments section below or you can join us on Discord.

In the fifty-sixth episode of Making Mt. Rushmore, host/moderator Steve Riddle welcomes Jeremy Nichols and James Gruenberg to discuss which Chocolate Candies deserve a place on their respective lists. Is Twix a no-brainer? What about Reese's Peanut Butter Cups? Does M&Ms grab a spot? Does 5th Avenue or Kit Kat deserve a place? After that, they discuss which Non-Chocolate Candies will be part of that grouping. Can you argue that Starburst shouldn't get a spot? Will Skittles be included? Is Sour Patch Kids in the conversation? What about Twizzlers or Air Head Bites?

Send us a text✨ Marriage isn't always picture-perfect—and that's okay. In this hilarious and brutally honest episode of Life After I Do, Kynesha and Morice peel back the curtain on the real, messy, and surprisingly funny side of long-term love.From sleeping in separate rooms for better rest to debating emotional cheating, this episode is packed with candid moments that prove no topic is off-limits.

Tired of “What went well?” and “What didn’t”? Brian Milner is here to help you cook up retrospectives that actually get your team thinking, collaborating, and improving. From creative themes to actionable frameworks, this is your behind-the-scenes guide to better retros. Overview Do your retrospectives feel more “check-the-box” than game-changing? Brian Milner shares his full recipe for planning and facilitating retrospectives that actually matter. Whether your team is stuck in repetition, tuning out, or phoning it in, Brian’s step-by-step approach will show you how to bring structure, creativity, and energy back into the room. Brian walks you through the five essential components of a retrospective, including how to match formats to your team’s personality, align activities with Agile's three pillars (transparency, inspection, and adaptation), and spark meaningful change with every session. References and resources mentioned in the show: Stranger Things Retrospective Download Agile Retrospectives by Esther Derby & Diana Larsen Retromat Blog: Overcoming Four Common Problems with Retrospectives by Mike Cohn Blog: Does a Scrum Team Need a Retrospective Every Sprint? By Mike Cohn #139 The Retrospective Reset with Cort Sharp Retrospectives Repair Guide Better Retrospectives Subscribe to the Agile Mentors Podcast Want to get involved? This show is designed for you, and we’d love your input. Enjoyed what you heard today? Please leave a rating and a review. It really helps, and we read every single one. Got an Agile subject you’d like us to discuss or a question that needs an answer? Share your thoughts with us at podcast@mountaingoatsoftware.com This episode’s presenters are: Brian Milner is SVP of coaching and training at Mountain Goat Software. He's passionate about making a difference in people's day-to-day work, influenced by his own experience of transitioning to Scrum and seeing improvements in work/life balance, honesty, respect, and the quality of work. Auto-generated Transcript: Brian Milner (00:00) Welcome in Agile Mentors. We are back for another episode of the Agile Mentors podcast, like we always do. And I'm with you as always, Brian Milner. Today we have with us, me, just me. Now, before you get frustrated with that or think we're copping out in some way, this is intentional. I wanted to have an episode to myself because and working through all this stuff around retrospectives, I thought that it might be good to take an episode here. And I kind of thought of it sort of like a cooking episode, right? Like if you watch a cooking show, you know, Gordon Ramsay show or something, they'll walk you through how they make something. And it's from start to finish. They show you the ingredients. They show you how everything's put together. And then you see this beautiful dish at the end. Well, I've often compared the way that you can format a retrospective to a little bit like a meal, because a meal has different courses in it. And a retrospective should have these themed areas or repeatable sections of it. And so I thought of it a little bit like making a meal. So I thought I'd just walk you through a little bit step by step. what I'm thinking here and how I would go about doing it. this is, you know, we're cooking up something special here. It's a kind of a recipe here that's, you know, equal parts creative and effective. It's a way to try to keep your retrospectives interesting, but also keep them to be solid and where you can have an actual outcome that comes from this. And you actually make definitive changes here with your team as a result. So there's a couple of retrospective courses that I have coming out where I go into detail about all these things, but I wanted to take an episode where I could walk you through and just have you kind of peer over my shoulder a little bit about how I might do this if I was going to create a retrospective for a team. So first starters, I think we have to understand that there is a menu to follow, right? And I kind of use this menu metaphor because one of the great things about when you go out and you have a meal at a nice restaurant is there's a repeatable pattern to it. You kind of expect that they're gonna bring you a drink first and then maybe you have, if it's a really fancy restaurant, maybe you have appetizers first or hors d'oeuvres even before appetizers, then you maybe have appetizers or not. Then you have a main course and maybe you have a salad even before the main course and then you have a a meal, and then you have some kind of a dessert afterwards, maybe even some kind of a cocktail at the end of the meal or coffee at the end of the meal. But there's sort of a pattern to it. And regardless of what restaurant you go to, you kind of repeat that same pattern. Now, I know that there's times you'll be, this is where the metaphor kind of breaks down a little bit, I get it. You may not have the same pieces every time. And what we're going to be talking about here as a retrospective pattern is that, yes, you should sort of follow the same pattern. You can't really get to, let's say, dessert. You can't just skip and go to dessert, right? You've got to go through this journey of the other sections so that you can end up at dessert and really fully appreciate it, right, and get the most out of it. So that's where this metaphor is a little bit of a, starts to break down a little tiny bit. But. I want to talk about here first why retrospectives matter and why they often go stale. I think they often go stale for a lot of reasons, but one of the chief reasons I've encountered when I work with teams is that the Scrum Master on the team really only has a small amount of formats and styles that they have to work with. They have a small little set in their toolbox. And they may even rotate through a few of them. But at the end of the day, it's kind of a small toolbox. There's only a few tools in there. And if I'm a team, if I'm a member of that team, you can imagine how I might get bored. And I might think this is not really worthwhile if I'm showing up every single time and I'm hearing the same exact questions. What did I do? What do we do well? What do we not do so well? Do I have any roadblocks? If I'm just asked that same thing every time, then I might not feel like this is a very worthwhile thing. Or I might get to the point where I feel like, gosh, I've answered the same question, you know, three sprints in a row. I just, got nothing more for you Scrum Master. I just, I can't dig any deeper. I've given you everything and it just feels like this is the, you know, groundhog day. We're doing the same thing over and over again, but nothing's really changing. So. I think it's important that we be able to switch things up, but it's not change just for change sake. That's why I think that having a structure of some kind can give you that pattern to fall back on that can make it effective, but then also can provide variety, can make it something that changes over time as you do this with your team. Doesn't mean that you can't ever repeat a format that you've used. I don't think that's a bad thing. I just wouldn't want to repeat the same, just handful, small little number of them over and over again. That's going to get repetitive and it's going to make people a little frustrated. The other thing is I think you have to match these to the personality of your team. Your team might be more outgoing or they might be more introverted. You might have people who prefer activities or little more, you know, kind of quiet activities or some that are more verbal, you know, require more discussion. That's really an individual thing for your team. So I think you have to think as you go through this, what's going to work for these people, right? For this set of individuals that I am working with. You know, I always say there's kind of a first commandment for Scrum Masters, know thy team. And I think that's really something that's important for us to grasp onto is we have to know our team. can't coach to the average. Right? We have to coach to the individual, to what we have on our team, because your team is unique. That set of individuals has never come together anywhere else in the world. Right? Those personalities. And what you want is to find out how to make that set of people work well together. Right? How do they work best together? Not how does every other team in the world work best or how does the average team work best? How does your team work best? Right? So with all of this is sort of setting this and saying that there should be a pattern. I do want to give the hat tip here and say that the Esther Derby Dinah Larson book on retrospectives is one I strongly recommend. In fact, pretty much my whole career as a trainer, I have said, when people say if there's one book, if I'm to be a Scrum Master, if there's one book that you would say would be really impactful to me from pretty much day one, I have pointed to that book. It's called Agile Retrospectives, Esther Derby, Dinah Larson. And in that book, they lay out a pattern of kind of five phases that go through it. I'm going to distill it down because to me, it's sort of the three middle ones that are the most important. I will talk about the two on the ends here as well and kind of put that on top of these three. But sometimes I find people find it easier if they just remember what I'm gonna teach you here about the three that are in the middle. So in Scrum Master classes, we will talk often about how there's these three pillars of the Agile process or three pillars of empiricism. Empiricism says that we learn through experience. Well, I always say in class, it's not enough to just do the wrong thing over and over again. I gain a lot of experience by doing the wrong thing over and over, but I don't learn from it. And the three pillars are what's needed to make sure you learn from them. And I'm sure you've heard these before, but if you haven't, transparency, inspection, adaptation. Those are the three. Transparency meaning we're not going to be clouded about how we do the work. We're going to be very transparent, open about it. We're going to try to reveal how we work best as much as possible. Inspection, that we're going to actually take time and pause and try to figure out not just what happened, that would be transparency, right? What's the reality of what just happened? But inspecting says, why did this happen? Right? What's the root cause of it? I don't want to just deal with the symptoms, right? If we just try to cure the symptoms over and over again, we still have the same disease, we still have the same illness, and we're not really getting to the root cause. So inspection says, we're going to take time out to actually get to the root cause. And then adaptation, the last one, is probably the most important step here, because if you figure out what's wrong, but you don't ever do anything about it, well, we're doomed to have the same exact discussion again. So adaptation says, now that you know what the problem is, what are you going to try different? We may not even know exactly what the right thing to do is, but we got to try something. What we know for certain is what we did didn't work. That's the one thing we absolutely can't do again, is exactly what we did. We've got to try something new so that we move on, right? So that we find out more information and get closer to whatever our final solution is. So transparency, inspection, adaptation, those three actually serve as a good guideline or three phases you can think about for your retrospectives. There needs to be a transparency phase where you try to figure out what happened this last sprint. there needs to be an inspection phase where now that we know what happened, we got to ask the question, why did it happen? And we need to get to the root cause of why it happened. Now that we know what that is, then we have to move on to adaptation to say, what are we going to do about it? How are we going to take this knowledge we just gained and actually make a change? So we need activities around all three. And what I'm saying here to you is that can serve as your menu. I can do lots of different activities that would match these three areas. Now, I do, again, want to go back to the Esther Derby, Dinah Larson book, because their five phases adds one on the beginning, one on the end, which I actually do think are very helpful. The first one is kind of opening the retrospective. It's a way of trying to just start to get voices in the room. And this is something I will often do as well. Just a quick, quick exercise to just get people to start talking. And that's one of the ways you can start to get a quieter group to get involved is throw them something really easy to respond to right out of the gate. And then the last one is to close the retrospective. Closing the retrospective is a great way to then try to sum it all up and say, well, here's the takeaways, here's the things we're going to do about it, and we're going to move forward from here. Opening the retrospective to that introduction can also then review what you talked about at the end of the last. retrospective. You can say, here are the things that we decided, and let's talk about what's been done about them before you start to inspect the current retrospective. So given that, right, I know I'm going fast here, but you can rewind and listen back to this if you need to. But if you think about that, that you have these kind of phased approaches, and think of it like a menu, right? There's different courses to my menu. Well, I'm not going to serve the same meal every time. That would be boring. So I got to find out different things I can serve for each course of my retrospective. Now, here's where it gets interesting, right? Because there are lots of tools out there. And there's a website that I often recommend called RetroMAT. RetroMAT is a great site where you can go to, and it has those five phases. You can kind of scroll through different exercises for each of the five phases. they sort of have, you you can kind of mix and match and create your own menu based off of that. And doing that is absolutely free. Now they have paid things there as well. They're not a sponsor. I don't get any kickbacks or anything from them. But they have some paid activities as well as far as having things like Mural and Miro templates that you can use if you want to do that as well. So there's lots of things you can do there to thank them for what they put together. But there are times when Maybe you're trying to fit this to your team specifically, or you've grown tired of the exercises that you're used to, and you want to find some new dynamic to add into your retrospective. So what I'm going to do is kind of walk you through what I would do if I wanted to take some kind of a theme and create a new retrospective that's themed around a certain topic. Now I will say that this theme is gonna go just in one of our sections. So it's not going to go throughout it. I'm not gonna be that creative here with you on it, because I don't think you need to be. I don't think you need to have this, it's not like a theme to party, right? You can just take the theme and use it in one of the sections. So what would I do for something like this? Well, I'd start with, as I said, some way to kind of open the retrospective. And I like to have little quick activities as I said, that just get voices in the room. an example of things I've done in the past. Ask the team a quick question like, if this last sprint were a song title, what song title would you use to describe this last sprint? And people can use whatever kind of music they like, right? It doesn't matter. They can just call it any songs that they're familiar with. Or do movie titles. I've had a lot of fun in the past doing that with teams where I'll say, hey, shout out a movie title that might represent this last sprint. You just want to find something quick that people can shout out like one or two word answers, right? Or a small sentence in the case of a song title or movie title or something like that. But something that they can tie it into, right? And it doesn't have to be anything that makes perfect sense, right? It can be kind of crazy. It can be... You know, if this last sprint were a flavor of Starburst or, you know, an color, what color would it be and why? And just have people, you know, shout out whatever they think the answer would be. They might have to be a little creative with their answers when they do that. But that's okay. You're just giving them an opportunity to have a few voices start to enter the conversation. Don't force anyone, right? Don't force anyone to shout out, but give them an opportunity to. So I'm going to open the retrospective with some kind of fun, quick exercise like that. Probably won't take more than five minutes, okay? Then I want to move into that transparency section. And the way I frame transparency is what actually happened this last sprint? What was the reality of what happened this last sprint? So here's where I'm going to inject a themed kind of approach. And I just, I go through a couple of examples in our courses where I talk about doing this, but I picked a different one here for this podcast episode that I've put together right before this recording to try to walk you through a little bit of how I did this. So I tried to pick something that was a little more relevant to today. I know that this is popular and people are looking forward to the next season, which is about to come out. sometime soon, I know they've been shooting it, but I picked the theme, Stranger Things. And I just thought, what if my team, you know, had, I knew there were some people on my team really into Stranger Things, or what if I just knew they were aware of it, they knew what it was, and I wanted to have a theme built around this. So here's how easy it is to do this. I went to chat GPT, and I asked it to give me some, you know, putting together a retrospective that I want to theme it around stranger things. And give me some major themes from Stranger Things that might align to Some different ways of collecting information around what actually happened this last sprint. And. They gave me a long list of different things. And I read through these and kind of tweaked them, talked back and forth with it a little bit, kind of refined. And I distilled it down to five sort of themes or categories I thought would be fun and would kind of challenge the group to think along different lines of thought. So here's what I came up with with Chat GPT's help. My first category. I called running up that hill. And what I put for the prompt for this one is what felt like an uphill battle this sprint? Now just think about that, right? In traditional sprints, there's lots of things that are just, I'm essentially asking what was the obstacles? What were the hurdles in this sprint? But I'm getting them to think about it in little different way by saying, what was an uphill battle in this sprint? And even that subtle rewording, of that prompt can trigger people's brains to work in a different way and get them to think along different lines. If I just ask over and over again, you know, what was a blocker of this sprint or what blockers do we encounter this sprint? If I use those same words over and over, I get sort of immunized against them and I can't really think about anything new. But just phrasing it that little slightly different way, what felt like an uphill battle this sprint I think can really trigger some new ways of thinking. So that was my first category. The second one that I came up with, big theme here in Stranger Things, was the upside down. And I related it this way to say, what is completely upside down right now? What is the opposite of what it should be right now? Now here, I'm trying to get them to think about things that are not really going well, right? Things that are going the opposite direction that they should, and it's upside down from what should be the normal. Right? And again, we're just thinking along this theme of stranger things and I'm tricking their brains a little bit into thinking along a different line, right? To examine it from a different point of view. My third category that I thought would be fun was I titled Vecna's Curse. And what I prompted here for this one was what haunted the team this sprint or kept coming back up to bite us. And The idea here is to get them to think about things that were maybe decisions we wish we had made differently. These could have been decisions in the past. It didn't have to be a decision from this sprint. But what are those things that we felt kind of like was like Vecna's curse? It was just something that kept rearing its ugly head. And it was just a struggle for us to get around. My fourth one, just to have a little fun. I call the fourth one Surfer Boy Pizza. And what I put as a prompt on this one was, where did we bring the chill? Where did we bring the creative spin to a tough solution during the sprint? So here I'm wanting to celebrate good things, right? And I'm asking that in a funny way. So it brings some humor to it, puts them in a better mood, and also gets them to think along a maybe a little bit of a different line in this area to think, all right, well, what do we get really creative about? What do we have to be really creative about in this sprint? What kind of tough solutions did we really conquer? Did we really nail in this sprint? And I'm just theming around that loose theme of that surfer boy pizza from the last season. And then the last one, I couldn't have categories here without mentioning Hellfire Club. So the last one was Hellfire Club. And the prompt I put for it was, where could we bring more of kind of that Hellfire Club vibe, planning, teamwork, shared adventure, right? Just the fun. Where could we put more of that vibe into our team and to how we operate? Now, this is getting them to think about something that might otherwise be a little bit of a uncomfortable thing to think about, right? Because Now we're getting into interpersonal dynamics. We're getting into how the team actually works and fits together. And that's why I chose this theme, because I wanted it to be just kind of a, even maybe a sneaky back doorway of getting their brains to start to examine, yeah, what would have made this more fun? Or what would have made this, how could we have, I've asked often in retrospectives, what would it take for us to be the team that everyone else wishes they were on? Well, That's what I'm asking here, essentially. So I've got my five themes. And I even then went forward and created and kind of get some images for each one of those, like icons for each one of those things. Just created a board and mural for this and put each of those things up. Had a big block space next to each one where people could put Post-it notes. So what I would do here in the retrospective is I'd introduce this. I'd give them the prompts for each of the section and say, all right, let's take a few minutes. Everyone can add Post-its to any of these sections, but try to think through several of them and put several of them up here on the screen or physical board if we're in the same space. But take a few moments here to think through each category and see if there's anything that you can think of that you would add to each area. So we take, I don't know, five, 10 minutes to do that. normally time that, I just see when it starts to slow down. And there's generally a point there where you can kind of intuitively feel it and feel like, you know, the group's ready to move on. So whenever that time comes, I'll call a halt to it and I'll say, all right, now that we've done this, I want us to try to narrow down what's on the board. So let's give you each three votes. And I do this usually with dot voting or something along that line. where they have three dots they can place on three different sticky notes across all five categories. And what I tell them is find the three that are the most important of all the things here, what are the three that are most important and put your vote on those top three. And by doing this, having the team vote on it, then we surface the most important three out of the entire group, right? It's not to say we ignore the others, but we're going to try, we can't focus on everything in our time that we have. So, whether our top three, and then I start with the first one, right? So right now, all we've done is kind of the introduction of the sprint. We've done a transparency section. Now we move into the inspection. Now there's lots of different things you can do here, but what I put together for this retrospective was taking them through sort of a five whys activity. So I would take that first one, I'd have them examine it and look at it and say, all right, let's ask the question why five times for this one. Why did this happen? whatever they answer, then we say, all right, well, why did that happen then? And we ask why, it doesn't have to technically be five times, but you need to ask it enough to where you get down to something that you can say, yeah, that's definitely the root cause, right? That's what's underneath all this. All that followed it, all that came afterwards was all stuff that came as a result of us making that decision. So once we have our root cause, we can repeat that again for the other two. if we have time, but if we're starting to run out of time, I kind of watch my time box there. And once I realize we need to move into solutioning, then we'll move on into the adaptation portion. In adaptation, we just take each single one, and we kind of repeat this process of getting possible answers across the team. So for the number one issue that you guys identified, here's our root cause. Let's take some post-its here. or let's take some suggestions of what we might possibly do to counteract this in the next sprint. So we get those things that come up. Then we'll talk through each one, and we'll try to build consensus as a team as to the most important step to take. So for each item, I want what's the one most important thing to do. So we'll identify that, again, as time allows, I want to at least do the most important thing. If we have time for more than that, great, we'll get to the second and third. But I think it's so important to just, whatever the biggest, most important thing is, make sure you have an action item for that thing. And here's where I just caution you. It doesn't have to be, hey, we've knocked it out. We've cleared it. We've solved it in the next sprint. It just has to be that we've taken a step towards solving it, right? What's the old phrase, a journey of a thousand miles starts with a single step. Well, the same thing goes for our teams. And this is oftentimes why teams get stuck, is they just feel paralyzed. Hey, there's nothing we can do about this. It's such a huge issue. Well, that's not true. What's the next step you can take? So take the next step. Make sure that the team understands what it is. And make sure we understand who is going to be responsible for that. And do that for as many as you can get through. Then get to the closing the retrospective part of it. Kind of wrap up. Remind them, here's the journey we've taken, here's what we've uncovered, and here's what we're gonna do differently for next time. And now those items, they should go straight into your next sprint backlog, not product backlog, sprint backlog, right? They don't need to be prioritized because the product owner has been with you, they should have been with you in this meeting, it's the entire Scrum team. So the product owner has weighed in as well. This has been a team collective decision. So now those items should go into your sprint backlog, and you should do something about them in this next sprint. That's the whole concept of the Kaizen comes first, right? The good change should happen before we do anything else so we can get the benefit of it over a longer period of time. So that's kind of the idea here. And I wanted to give you that kind of really quick flyby to help you kind of see how to go about doing something like this, right? And I just picked one theme. I just picked Stranger Things because I thought it would be fun to work on. I thought it would be a fun kind of theme. And it might be fun for a team I was working with. But maybe that's not something that aligns to your team. Maybe your team has a bunch of people who are really into cricket. Well, do a cricket-themed one. Maybe you have a team that's around the Academy Awards time. And everyone's talking about, and now people don't do this as much anymore, but. Maybe they're all talking about who's going to Oscars this year or something. Well, do an Oscar-themed one. Or it can be around anything. Do it around award shows in general. It doesn't have to be just Oscars, but do it around any kind of award show. And you can pick up different themes. Again, if you're stuck, ask your favorite large language model and see what it comes up with. It's not all going to be gems that comes from that, but you can pick and choose and refine it, which is exactly what I did with my five themes for this. So I hope you see how easy it is to do that. It doesn't have to be complicated. You don't have to be extremely creative to do this. You can make use of the tools that you have available to you. And as a Scrum Master, you can keep this fresh. You can tailor this to the team that you have. What is your team really into? What's the theme that they would really resonate with? Choose that. Go with that. Create a theme around that and see what they think about it. Afterwards, ask them, hey, did this work all right? Did you like this? I hope that's been useful to you. If you like this and you want to hear more like this, come to our website to mountngoatsoftware.com and check out our courses that we're launching actually this week, Better Retrospectives and the Retrospective Repair Guide. Those are the two that we really want to have you kind of think about. Come to our site, find out more about them. Better Retrospectives is all about just the expert level retrospectives course really gets into the heart of a lot of these issues at a very, very deep level. The retrospectives repair guide is taking the 10 most asked questions that we have about retrospectives at Mountain Goat Software and giving you really deep dives on how to solution those, how to problem solve those top 10 issues. And the great news for you is if you're listening to this in real time, right, when we've launched this, We're launching this as a two-for-one special. We'll not have that special again. So it's $99 that you get both of those courses. You don't have to pick and choose from them. You can give $99. They're prerecorded. You can watch them at your own pace. This is for people who want this knowledge, who want these answers. And I know when I was a Scrum Master starting out, there was a lot of, I followed a kind of the pattern that Mike established with his sprint repair guide. I bought that when I was coming up as a scrum master because I needed answers to some of the questions that he had in that scrum repair guide. Well, take a look at the 10 that we have for our retrospective repair guide. Maybe you'll find one of those things that's really tripping you up and maybe just getting the answer to one of those is going to be worth the money for you. I encourage you to go to our site, check it out. Don't miss this. It's a limited time cart that's opened. It's only going to be open for a week. So if you're listening to this when we launch it, don't delay, don't wait until next week. If you hear this next week, then you're running out of time. So make sure that you take advantage of the time that you have here so that you can get these two courses, two for the price of one here at our launch. Again, we won't do that again. So I hope you found this to be useful. It's just a little taste of the kind of thing that's in those courses for you. And if retrospectives are something that you're struggling with, or if retrospectives are something that you just feel like, man, it really could be more. It really could deliver more for my team. Check out these two courses. I really think they're gonna help a lot of teams out there. That's why we put them together. So that'll wrap it up. I hope you've enjoyed this and we'll talk to you next time. on another episode of the Agile Mentors Podcast.

Welcome To the Bangin Beers! Sharing my love for the beer and spirits industry explore the craft scene by trying new drinks and going on location to review Breweries, Bars, and more.https://pilger-ruh-brewing.square.site/Follow these Channels for More ABJ Contenthttps://www.youtube.com/@ABJPodcasthttps://www.youtube.com/@5QwABJhttps://www.youtube.com/@ABJPShortshttps://www.youtube.com/@TornadoTagABJhttps://www.youtube.com/@BanginBeershttps://www.youtube.com/@truthbehindillusionhttps://www.youtube.com/@notcoolinhighschoolhttps://www.youtube.com/@NCIHSHorrorhttps://www.youtube.com/@BlazinBudzPodWitchCraftsByLilly YT:https://www.youtube.com/@WitchCraftsByLillyHTW Network YT:https://www.youtube.com/@HighTensionHTW

03-26-25 The Bizarre File #1790 A Pennsylvania teen gave a written bomb threat with Starburst candy. A woman was charged with negligence after her elderly mother with dementia was mauled to death by dogs. A man suffered kidney failure after doing 2,000 squats to win a bet. Britain’s most-wanted 12-year-old has been hunted by cops after driving off in a BMW with a stolen caravan. A 121-hour basketball game set a new Guinness World Record. Holy relics were returned to Italy after a Winnipeg man bought them on eBay. All that and more in the Bizarre File!

Chic Chat Jeep, Jeep Talk Show, Natalie High Lift Off-Road, Janet Precision Graphics, Badlands Off-Road Park, Jeep wheeling season, women off-roading, Easter Jeep Safari 2025, Jeep trail prep, Rough Country fridge, Jeep gear break-in, Jeep JK vs JL, Jeep community, off-road classes, Jeep style adventure Description: Rev up for Chic Chat on Jeep Talk Show! Natalie from High Lift Off-Road (where you dream it, we build it) and Janet from Precision Graphics & Marketing bring style and adventure to the trails. From beehive hair reports to sipping Fly By wine and Kentucky Derby vibes, these B-Team queens celebrate Jeep life! Natalie debuts the wheeling season with Big Red at Badlands Off-Road Park—teaching 14 newbies (5 lady drivers!) on 33s to 37s. Janet's prepping for Easter Jeep Safari with fresh Charlie graphics—trailer tips included! Get trail-ready with recovery gear hacks, Rough Country fridge love, and gear break-in secrets (500 miles, folks!). Plus, a surprise JTS meet-up with Chip at the Rock Quarry! Follow Natalie (@charlie.jku) and Janet (@gypsy_jk_red4x4) for builds, Moab plans, and more. Subscribe for Jeep Talk Show's 4,000th viewer milestone—will it be you?

Baron has had a nightmare week in QLD. Some sketchy voice mail. The $1.78 Baron made on Instagram. Starburst haven't always been called Starburst. You should also get in touch with Tasmania Safer Solar and get a free review on your home power costs. here's a link that will give us a kick back if you purchase

Episode 82 of the grass roots Electronica show, continuing to showcase the best exciting new music from home producers and indie label artists. This episode includes the Starburst magazine inspired featured album from The British Stereo Collective , an exclusive Homebrew Session from Speedboat Assassin and a special hour long Ladies Of Electronica celebration. First broadcast on MadWasp Radio 5th March 2025

January is finally over and Kneel Before Pod brings you the first 2025 news round-up. We cover video game adaptations, more unnecessary continuations and failing horror franchises. Craig McKenzie can be found on this very site and over on We Are Starfleet on the Film Stories podcast network. Andrew's work can be found on this site and on the Starburst website. Isa S-A can be found on Twitter, Instagram, BlueSky or YouTube where she shares her projects and tutorial videos. Show Notes TV Reviews Craig's reviews of She-Hulk: Attorney At Law Movie Reviews Craig's review of Star Trek: Section 31 Craig's review of Elevation Craig's review of I've Never Wanted Anyone More Craig's review of Alien Romulus Craig's review of Justice League Craig's review of Zack Snyder's Justice League Craig's review of A Quiet Place Craig's review of A Quiet Place Part II Craig's review of Interstellar Craig's review of Dunkirk Craig's review of Tenet Craig's review of Avatar: The Way of Water Craig's review of Uncharted Craig's review of Jumanji: Welcome to the Jungle Craig's review of Madame Web Craig's review of Tetris Craig's review of Luck Craig's review of Terminator: Genisys Craig's review of Snowpiercer Graeme's review of Happy Death Day Craig's review of Happy Death Day 2U Andrew's review of Teen Wolf: The Movie Podcasts Donor Special - The Dark Crystal and Labyrinth Craig's interview with actress Millan Tesfazgi She-Hulk: Attorney At Law Madame Web Justice League Zack Snyder's Justice League AVP: Alien Vs Predator Obi Wan Kenobi Trailers The King of Kings The Woman in the Yard The Monkey Heart Eyes Opus A Working Man The Alto Knights In The Lost Lands Suits LA The Last of Us season 2 Daredevil: Born Again Zero Day Drop Hell of a Summer Mickey17 Until Dawn News David Krumholtz and Emily Beecham cast in Supergirl: Woman of Tomorrow Ulrich Thomsen to play Sinestro in Lanterns Ryan Gosling in talks to star in Shawn Levy's Star Wars movie James Mangold talks his Star Wars movie Grimm reboot/continuation in the works James Cameron teases Avatar: Fire and Ash details Lee Isaac Chung to direct The Traveler Dylan O'Brien to star in Sam Raimi's Send Help Tom Holland to lead The Partner Joel McHale cast in Scream 7 David Leitch in talks to direct Oceans 14 Jon Bernthal cast in Christopher Nolan's The Odyssey Thandiwe Newton and Steve Zahn cast in Anaconda Robert Eggers sets next movie Robert Eggers set for Labyrinth sequel Horizon Zero Dawn and Helldivers movies in the works Misc Craig's recent appearance on Reel Talk Music Niall Stenson's cover of the “Marvel Music“, the “Superman theme” and his YouTube channel If you enjoyed what you heard here, please subscribe to Kneel Before Pod. If you have any feedback then we'd love to hear it. You can find us on Facebook ,Twitter and BlueSky. You can also make yourself known in the comments section below or you can join us on Discord.

In this episode, we explore the cutting-edge world of data infrastructure with Justin Borgman, CEO of Starburst — a company transforming data analytics through its open-source project, Trino, and empowering industry giants like Netflix, Airbnb, and LinkedIn. Justin takes us through Starburst's journey from a Yale University spin-out to a leading force in data innovation, discussing the shift from data lakes to lakehouses, the rise of open formats like Iceberg as the future of data storage, and the role of AI in modern data applications. We also dive into how Starburst is staying ahead by balancing on-prem and cloud offerings while emphasizing the value of optionality in a rapidly evolving, data-driven landscape. Starburst Data Website - https://www.starburst.io X/Twitter - https://x.com/starburstdata Justin Borgman LinkedIn - https://www.linkedin.com/in/justinborgman X/Twitter - https://x.com/justinborgman FIRSTMARK Website - https://firstmark.com X/Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ X/Twitter - https://twitter.com/mattturck (00:00) Intro (01:32) What is Starburst? (02:32) Understanding the data layer (05:06) Justin Borgman's story before Starburst (10:41) The evolution of Presto into Trino (13:20) Lakehouse vs. data lake vs. data warehouse (22:06) Why Starburst backed the lakehouse from the start (23:20) Starburst Enterprise (27:31) Cloud vs. on-prem (29:10) Starburst Galaxy (31:23) Dell Data Lakehouse (32:13) Starburst's data architecture explained (38:30) The rise of data apps (38:54) Starburst AML (40:41) “We actually built the Galaxy twice” (43:13) Managing multiple products at scale (45:14) “We founded the company on the idea of optionality” (47:20) Iceberg (48:01) How open-source acquisitions work (51:39) Why Snowflake embraced Iceberg (53:15) Data mesh (55:31) AI at Starburst (57:16) Key takeaways from go-to-market strategies (01:01:18) Lessons from the Dell partnership (01:04:40) Predictions for 2025

Carlos Delatorre is one of the legendary go-to-market leaders of the last 20 years. Today, Carlos is the Chief Revenue Officer (CRO) at Harness, where he oversees global sales and go-to-market (GTM) operations. Before Harness, Carlos was the CRO @ MongoDB and Navan. Carlos is also an investor with a portfolio including the likes of Modern Treasury and Starburst to name a few.  In Today's Sales Masterclass We Discuss: 03:48 The Art and Science of Sales 04:42 How to Hire Sales Talent 06:26 How to Build a Sales Team 15:28 Why Every Sales Rep Should do Pipeline Generation  19:45 How the Best Reps to Pipeline Generation 21:34 Biggest challenges of Pipeline Generation 22:44 Pipeline Generation Success Stories 34:59 Sales Metrics and Conversion Rates 35:32 Customer Acquisition Strategies 37:17 Evaluating Sales Performance 39:14 Effective Sales Training 43:10 Pipeline Generation and Deal Reviews 45:05 Maintaining Sales Team Morale 46:20 Verticalized Sales Playbooks 48:37 Addressing SaaS Churn Rates 49:49 Discounting and Deal Slippage 52:02 Transitioning to CEO Role 54:15 Hiring Mistakes and Sales Rep Evolution 57:03 In-Person vs. Remote Sales Teams 57:55 Account Management Strategies 01:02:47 Creative Sales Tactics 01:04:12 Final Advice for Sales Leaders 01:04:46 Adapting Sales Strategies During Crisis    

Hey Sailors! In this episode, we're getting duped by the Dark Kingdom! Not really, but the crew's classmates are getting gaga for gooning as Valentine's Day approaches. While everyone fantasizes, Kyo didn't realize the day and starts panicking, leaving Tohru to wonder if it's because the zodiac Sohmas have more to fear on Valentine's Day or if it's because Kyo is afraid of running into Kagura. *** Podcast Patreon: patreon.com/sailormanga Podcast Socials: @sailormangapod Podcast Email: sailormangapodcast@gmail.com

*Sleet and Ice ambience—Nature tossed an early morning meatball the day before Christmas. A steady fall of ice covered everything in a faux-white (the New England in me wouldn't grant this "White Christmas" status even if my kids were).  And yet, my holiday mind flipped through the possibilities: "Am I dreaming of a white Christmas podcast?" My prior falling ice episode was well received; let's do it again. But how? The Candy Canes were already moved to clearance aisles with the nearly-expired vitamins and other weird grocery **** like Pistachio butter or pickled cockles. And not even the old-fashioned Candy Canes; it was the sale on Starburst or Skittle canes. Any holiday podcast released on the doorstep of Christmas would feel stale. After all, this is the time of year when I start embracing the bleakness of winter without twinkling lights. The Christmas Crunch cereal and tree-shaped Reese's are 75% off. And somehow, large sections in department stores are dedicated to Valentine's Day.  This brief period of holiday hangover where every day feels like a Sunday, and most folks on social media are posting gym or business pics about "getting it" in the new year. As we stack all of our ab and financial aspirations onto a new calendar. Even though we did that last year. Look, I didn't want another Holiday episode, not after the Greyhound Bus episode sent us on a highway of mirth and merriment to Mom and the rest of our ****** family members. There was no way to fit in another elf-ish episode or holiday box fan.  Not while deductibles reset and the taxman looms. So… Happy New Year; enjoy some non-festive falling ice. (I hope y'all had/ are having a lovely holiday).

Unstructured data is the next frontier for AI: think video, audio, and more. David Nicholson is joined by Dell Technologies' Vice President of Product Management for Artificial Intelligence and Data Management Chad Dunn for a conversation on the strategic importance of high-quality data and the dynamic capabilities of the Dell Data Lakehouse in facilitating effective AI workloads. Highlights include ⤵️ Data quality is paramount: "Garbage in, expensive garbage out" applies more than ever in the age of generative AI Dell's Data Lakehouse: This intelligent platform helps organizations extract, prepare, and analyze data for AI workloads, including both structured and unstructured data with tools like Apache Spark and Trino Customer experiences: The evolving landscape of data challenges in large enterprises Pushing the boundaries: Dell's approach to managing unstructured data and integrating AI Factory visions into Lakehouse functionalities  

"Flicky Mint Cake" Welcome back to the Rack! The latest installment in our periodical drama takes us back to March 1993, a time when perhaps too much information about the forthcoming Series VI is being made public, Rob and Doug's relationship is definitely absolutely fine, and the elephant in Hattie Hayridge's room goes unaddressed. Join us as we witness a space monkey genocide, "enjoy" a double length Androids and contemplate life as a living fridge, a sentient armchair and a big fish-frog thing. Plus spend far too long indulging in nostalgia for analogue-based editing systems. Seriously, that's most of the podcast. In order for any of the above to make sense, you'll need a copy of the mag to refer to, which you can find via archive.org or Stasis Leak.Show notes The Smegazine strips organised by series, by Warbodog (huge spoilers if you're reading the mags along with us) Starburst's review of the Smegazine Danny found someone who likes Timewave Building a Human, because any excuse

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Bex Scott welcomes guest Dariya from The Thrifty Fox Shop to talk about her love of Pyrex and how many vintage collections she maintains. Bex met Dariya on Instagram and credits her with getting Bex onto Whatnot. They talk extensively about Pyrex, from their favorite pieces to their greatest finds, but as Dariya has an enthusiasm for a great variety of vintage items, there's more than Pyrex to explore in this episode.  Dariya, like many collectors, got into vintage collecting via her mom. She truly leaned into Pyrex around age sixteen and hasn't stopped since. Pyrex and thrifting for vintage items is a family affair for Dariya too, as both her mom and sister are as avid about collecting as she is. She shares some of her most memorable Pyrex finds with Bex and they discuss their most and least loved patterns as well as which Pyrex dish both their husbands manage to explode during use. Beyond Pyrex, Dariya introduces Bex to her love of crewel embroidery, vintage mushrooms, glass animals, lucite flowers, vintage linens, brass, and many more of her very eclectic collections. Dariya's philosophy is to collect what makes you happy and decorate the same way, so tune in to find out just what pieces bring her the most joy in her home. Resources discussed in this episode:WhatnotPink Butterprint PyrexStarburst PyrexAmethyst Viking swung vaseZodiac 475 casserole dishOld Orchard PyrexCatherine Holm turquoise bowlStrawberry Hill pottery mouseWabasso Flower Power floral sheets“Stranger Things” rainbow sheets@ThriftersDelight on InstagramFika Coffee House in Camrose, Alberta—Contact Dariya | The Thrifty Fox ShopInstagram: @TheThriftyFoxShopPoshmark: @dariyasimsEtsy: The Thrifty Fox ShopContact Rebecca Scott | Pyrex With Bex: Website: PyrexWithBex.comInstagram: @pyrexwithbex—TranscriptBex Scott: [00:00:02] Hey everybody, it's Bex Scott and welcome to the Pyrex with Bex podcast where, you guessed it, I talk about vintage Pyrex, but also all things vintage housewares. I'll take you on my latest thrifting adventures, talk about reselling, chat with other enthusiasts about their collections, and learn about a bunch of really awesome items from the past. Subscribe now on Apple, Spotify, or wherever you love listening to podcasts so you don't miss a beat. Hey everybody, this is Bex Scott and you are listening to the Pyrex with Bex podcast. And on today's episode, I have my friend and fellow vintage reseller Dariya from the Thrifty Fox Shop. Welcome, Dariya. Dariya: [00:00:43] Hello. Bex Scott: [00:00:44] How's it going? Dariya: [00:00:45] Oh, good. Bex Scott: [00:00:47] Nice. I see you have your awesome Halloween display behind you. Dariya: [00:00:51] I do. We couldn't wait to start decorating for October, so we started in mid-September for decorating Halloween. Yeah. Bex Scott: [00:00:59] That's how my family is but with Christmas. Dariya: [00:01:01] Oh, fair. Bex Scott: [00:01:02] My mom starts decorating the day after Halloween for Christmas, so I've kind of-- Dariya: [00:01:05] -- oh, wow-- Bex Scott: [00:01:06] -- got that Christmas bug from her. Dariya: [00:01:08] Yeah. That makes sense. Bex Scott: [00:01:10] Mhm. So I wanted to start off kind of with how we met. So we met on Instagram. I was following you for a while. And then I came across your Instagram story about your Whatnot show. And it was a Christmas show which is one of my favorite things obviously. And I watched your show got some amazing things from you and you helped me get into the Whatnot selling, which I'm very grateful for that. Dariya: [00:01:37] I actually didn't know that. Bex Scott: [00:01:38] You're the first person I found out about Whatnot through. And you made selling look so easy. And I remember a while back in some of the episodes I was talking about how I thought Whatnot was difficult because you have to be, like, on for an entire hour and talking and kind of, I'm a very severe introvert, so doing Whatnot is kind of stress-inducing. But I've loved it so far. Dariya: [00:02:05] Yeah, once you get into it, then you find yourself more comfortable and stuff. Yeah, because I'm also an introvert and I never thought I'd ever do lives in my entire life. But hey, look at us go. Bex Scott: [00:02:16] Yeah, yeah, yeah. Your one year just passed on Whatnot. And I think mine is coming up sometime soon, so. Dariya: [00:02:23] Yeah. You'll have to do a show. Bex Scott: [00:02:24] Yeah. For everybody listening, come find us on Whatnot. We have an awesome group of Canadian sellers. So how did your Pyrex and your vintage collecting begin? Dariya: [00:02:35] With my mom. She's always, yeah, it's always someone in the family that gets you hooked. Yeah. My mom always loved, like, antiques and vintage. And so, you know, growing up around that. And then I kind of got my own style going, which has changed drastically over the last, like, years. When I started collecting, which was probably when I was 16, I started collecting, I've always like collected knickknacks, like ever since I was a little girl. But Pyrex was when around 16 when I started collecting all the Pyrex and I've never stopped. Bex Scott: [00:03:09] It's good. A good collection you have going. Then for all that time, I. Dariya: [00:03:12] Think of all the stuff I left behind at that time when all the prices were good. So many regrets. Bex Scott: [00:03:17] Yeah, that's what a lot of collectors I've talked to say. Like, if they would have known that, they should have just grabbed things when they saw it. Yeah. Dariya: [00:03:26] And the stuff that I started collecting nowadays and just thinking about what I could have left behind back then. Oh, man. Yeah. Bex Scott: [00:03:35] So your mom kind of got you into it. Does your mom still collect Pyrex? Dariya: [00:03:40] She does. Yeah, and so does my sister. So all three of us collect Pyrex and other collections we kind of share the same love for. So we're either fighting or finding each other stuff. Bex Scott: [00:03:52] Yeah, I was going to say, when you go thrifting together, how do you decide who gets to keep what? Dariya: [00:03:56] Basically, whoever finds it, gets it. Or else if one of us has something, then we'll, yeah, let whoever has it get the first dibs. But it's a competition sometimes, that's for sure. Bex Scott: [00:04:09] I guess I'm lucky that way that I don't have any family competition. If anybody finds anything, they know to just give it straight to me. And I don't have to fight my mom over anything. Dariya: [00:04:19] Well, and whenever one of us starts a new collection, we all get hooked. So then it's like there's no winning. Bex Scott: [00:04:26] That's awesome. Dariya: [00:04:27] Yeah. Bex Scott: [00:04:27] I guess on the flip side, that would be really fun if you had people in your family who you could go thrifting with and kind of had the same interests as you. Dariya: [00:04:35] Yeah, exactly. Yeah. Bex Scott: [00:04:37] Cool. And what have been your best Pyrex finds so far? Dariya: [00:04:42] I think my best one was the two pieces of pink Butterprint at a garage sale and, in Alberta, which you never see pink Butterprint? And it was posted online and I, like, messaged them because it was a bit of a drive and I had like two little kids, so I was like, okay, like I'd love to get these, but would you be able to hold them? Because I don't want to drive there and get there and them not being there. So they held them for me and I paid 60 bucks for two of them, which is high for a garage sale. But like, again, pink Butterprint. Bex Scott: [00:05:13] That's good. Dariya: [00:05:14] Yeah, yeah. So I kept one and then gave one to my sister. Bex Scott: [00:05:18] Lucky sister. Dariya: [00:05:20] I know. Would have been nice if there was three. And then I could have given one to my mom too, but yeah. Bex Scott: [00:05:26] Yeah. Dariya: [00:05:26] No, I think that was, I was trying to, like, wrack my brain and that was definitely one of my best Pyrex scores. Bex Scott: [00:05:33] Yeah. That's really good. Especially at a garage sale. That never happens. Dariya: [00:05:37] And I'm so curious as to how they got the pink Butterprint, because I think it was only for the States and you had to get them through coupons or something? So it's curious to know how they got all the way up to Alberta. Bex Scott: [00:05:50] Interesting. Yeah, I think I found a set of the Butterprint. It was in a Value Village and only one of the bowls was good, but it was still, it was still a good find, right? Dariya: [00:06:03] Yeah, yeah, I'd love to find an orange. The orange Butterprint, but... Bex Scott: [00:06:08] Oh yeah. Yeah. I keep seeing listings through Facebook for them and I'm tempted. Dariya: [00:06:13] But that price tag. Bex Scott: [00:06:15] Yeah like $750, $1000. Dariya: [00:06:18] Yeah. No. Nope. Bex Scott: [00:06:22] Cool. And what would you say is your holy grail piece, if you, you might already have it. But if you don't have it what would it be? Dariya: [00:06:28] I don't actually. I still need that Starburst Pyrex. I was trying to think. Starburst, I kind of have three. Starburst. What's the - Pink Stems. And then this isn't Pyrex, but I really love like, a amethyst. Amethyst, Amethyst, Amethyst I don't know, um, Vikings swung vase. So those are like my three holy grails. Yeah, yeah. But yeah. Do you have a Starburst? Bex Scott: [00:06:54] I don't. Dariya: [00:06:55] I know, like, they're like they seem common enough. But the price tag again is just like, hmm, yeah. Bex Scott: [00:07:02] And you see photos of people who have like ten of them in their collection. Dariya: [00:07:05] Just hand one over to me. Please, please. I did see a Starburst at a antique, at the Antique Mall in Edmonton. Bex Scott: [00:07:13] Oh, yeah. Dariya: [00:07:14] And I think it was like $2,000. So I was like, oh, that was like, look at you from through the glass. Bex Scott: [00:07:19] Yeah. Take a picture. And then just, that's as close as I'm going to get. Dariya: [00:07:22] Pretty much. I was like, I was right beside it, but that's about it. Yeah. Bex Scott: [00:07:26] Yeah. And do you want the turquoist? Turquoist? That's not a word. Turquoise. That's my my 14 year old son, he's infected me. He says turquoist. I'm gonna have to tell him now. He's gonna be proud. Dariya: [00:07:36] Yeah. You know, my husband's always, like, deliberately mispronouncing things. And now I call, like, quesadilla a quesadillo. You know, I'm, like, so dumb, so dumb. Bex Scott: [00:07:47] Try this again. Turquoise. Oh my gosh. Yeah. Do you want that one or, I think there's a cream one, right? Dariya: [00:07:53] I'd probably want the turquoise. Yeah. The cream one's nice, but like. And there's a black one too, I think. Bex Scott: [00:07:58] Yes. Yeah. Dariya: [00:08:00] I mean, the black one would be nice for a Halloween display. Bex Scott: [00:08:02] It would. Yeah. Dariya: [00:08:04] But I would definitely take the turquoise one. Bex Scott: [00:08:06] Me too. Dariya: [00:08:07] Mhm. Just need to thrift one. Bex Scott: [00:08:09] Oh that would be great. Dariya: [00:08:11] Right? Bex Scott: [00:08:11] That would be a start the car moment. I'd push everybody away in the aisles. Give it to me. Dariya: [00:08:16] Yeah. I must go pay for this. Bex Scott: [00:08:18] Yeah. And do you have any favorite patterns outside of your holy grail? Dariya: [00:08:27] I have to say, I mean, I love a lot of the patterns, but my favorite one is the Zodiac one, which is right there. You can see behind me. Yeah. The Zodiac 475 casserole dish. I didn't even know I wanted it, and then my husband surprised me with it for Christmas one year. And it's like, hands down, the best Christmas present ever. Bex Scott: [00:08:48] No kidding. Dariya: [00:08:49] I kind of forgot that there was a Zodiac Pyrex available, so when I opened it up for Christmas, I was so excited. And yeah, it's definitely my favorite. Favorite Christmas gift ever. Bex Scott: [00:08:58] That's a good gift from your husband. He's great at gift giving. Dariya: [00:09:02] Yeah, he did pretty good. They need to make more of the Zodiac line. I'm, too bad that they didn't, but I can see how the gold is kind of hard and. Mhm. Bex Scott: [00:09:11] Yeah. Dariya: [00:09:12] You need that one. Bex Scott: [00:09:13] Are there any patterns that you really dislike? Dariya: [00:09:16] I mean I'm not a big fan of the Woodland Pyrex. I know a lot of people like that. I don't mind the lighter brown one, but the dark brown one is like mmm. And then I'm trying to think, there's another brown one I'm not a big fan of. Bex Scott: [00:09:29] The Old Orchard one? Dariya: [00:09:30] Yeah. Yeah. The Old Orchard one. Yeah. Other than that I'm like, I don't mind any of the other Pyrex, but the Old Orchard one just grinds my gears. Bex Scott: [00:09:40] Yeah. It's weird. Dariya: [00:09:42] Yeah. And I know some people like to exclusively collect that one, but I'm like, no. Bex Scott: [00:09:47] It must have been, I don't know, it would be interesting to get in the mind of whoever designed that one because-- Dariya: [00:09:54] Right? Yeah. Bex Scott: [00:09:55] Maybe the colors on its own without the design on top would be kind of okay? Dariya: [00:10:01] But yeah. Yeah, it's that design. I wouldn't mind it so much without the design. Yeah, yeah, yeah. Bex Scott: [00:10:09] And do you use your Pyrex is a big question for collectors. Dariya: [00:10:12] I'm like 50/50. I use, I have Pyrex, my Pyrex cupboard of items that I use and then my display Pyrex, which is like usually the harder to find or harder to replace pieces I display only. And I don't let my husband or children touch. But yeah, you got like those workhorses people call them. Yeah, I use those and I use my Autumn Harvest set of mixing bowls quite frequently. But yeah. So I'm like 50/50 split. Bex Scott: [00:10:43] That's how I am as well. I have my pink cabinet that I've actually started to take pieces of it out to let my son, he made banana bread with it yesterday. Dariya: [00:10:56] Oh, nice. Bex Scott: [00:10:57] He was very gentle, which is good. Dariya: [00:10:58] Yeah. Yeah. I've had a few Pyrex explode in the oven, so I'm like, definitely not my, can't put my favorite pieces in the oven. Yeah. Yeah. But I could display with like cookies or something in them. Bex Scott: [00:11:14] Mhm. I brought home a Bertha, I can't remember which one it was, but my husband used it on the stove top. Dariya: [00:11:23] Oh no. Bex Scott: [00:11:23] And I told him to take a video of himself cooking. I didn't know he was going to use it on the stove top. It was going to be like a cooking kind of Pyrex thing. Yeah. And it blew up in the video, and he was doing some kind of roast with wine. And it, in the video, I have to find it and put it on my Instagram. Dariya: [00:11:41] You will. Bex Scott: [00:11:42] I know I've talked about it before, but red wine exploded everywhere, all over the ceiling, all over the walls. And he called me and he's like, I did something bad. Dariya: [00:11:53] Very bad. It was the Big Bertha for me too, but in the oven that exploded. So there must be something with those big Bertha's. Bex Scott: [00:12:03] Yeah, because they're just too big. Dariya: [00:12:05] Yeah, and it was, like, pristine condition, too. And, like, I couldn't find any flaw in it, so there must have been just like, some kind of, like, small little hairline crack somewhere or something that I just couldn't see. And yeah. So that's wild that it, but worse for you. Because everywhere, like, at least it was contained in the oven for us. Bex Scott: [00:12:25] Luckily he had it all cleaned up by the time I got home. And then I was able to find another one like a week later. Dariya: [00:12:32] Oh thank goodness. Because yeah, I'd be like, I'm not cleaning that up. That was on you. Bex Scott: [00:12:35] No, no. That's like a hazmat level. Bring somebody in. Clean every surface. Wine everywhere. Dariya: [00:12:42] Yeah. Yeah, totally. Oh my goodness. Bex Scott: [00:12:46] What else do you love to collect? I know on your Instagram you have the best taste and your photos are amazing. I always like creeping to see what you have new for me to buy. Dariya: [00:12:58] I start a new collection somewhere or something. I wrote, I wrote down some of my collections because I was like, I'm going to forget. And even this isn't even all that I collected. There's so much more. But I think, oh, here we go. So I have, I put too much first of all, and then I collect, vintage crewel embroideries, anything like vintage mushroom, like Merry Mushroom, any kind of any groovy mushroom thing. Vintage glass, like swung vases and like glass animals I've kind of starting to get into. Vintage pottery, Lucite flowers, linens, vintage Halloween and Christmas. Vintage brass. Lefton pink poodle chef. And I could go on and on, but like, that's like the main ones. Bex Scott: [00:13:45] Yeah. Dariya: [00:13:45] But yeah, like, there's so many. Like any MCM groovy thing I can get my hands on, which is so hard to find where I am. Bex Scott: [00:13:53] Yeah. No kidding. Especially nice mushroom stuff. I have the worst luck finding it, and whenever I do, it's very overpriced. Or it's broken. Dariya: [00:14:06] Yeah, yeah, I usually I, yeah, rarely do I find something in the wild anymore. I usually have to buy something for my mushroom collection. Yeah. Oh. Bex Scott: [00:14:16] And you, what's the word, you crewel. Is that how you say it, you crewel? Dariya: [00:14:20] Crewel? Yeah, I know my husband always jokes that I'm so cruel to my crewel. I'm like, funny dad joke. Bex Scott: [00:14:29] And how long have you been doing that for? Dariya: [00:14:32] I'm trying to. I think I want to say when the pandemic started is when I really started taking it up. And I bought a few kits online to try, and then, yeah, I was just hooked. So that would have been, what, like five years? Six years? No, four years. Four years ish. So four years I've been doing it and yeah, I, I love it. And then I got my mom into it and my sister tried, but she doesn't have the patience for it. So I just make crewels for her. She buys me kits and then I do them up for her. But it's nice because I have like followers that like, keep an eye out for crewel kits for me and I'll, they'll mail them to me and it's awesome. Bex Scott: [00:15:14] That's fun. Yeah. It's like your own little personal shoppers. Dariya: [00:15:18] Yeah. They're like, I found this and I thought of you immediately. I was like, perfect. I will take it. Thank you. Bex Scott: [00:15:26] I started a crewel last year and I still haven't finished it. Dariya: [00:15:32] I know it's, sometimes I like don't pick it up for a couple days and then I'm like, I need to get back into it. Yeah. Bex Scott: [00:15:39] Okay. And what would you say is your all time favorite piece of vintage that you've thrifted? Dariya: [00:15:44] A Catherine Holm like Turquoise Bowl, and it's probably like the nine inch one for $1. It was like years ago, probably like seven years ago, but it was like my best find ever. And it was sitting in the thrift store window. It was like a small town thrift store, and I could see it from the outside. And I was walking in with my sister in law, and I basically pushed back past her, and I was like, I gotta go, I gotta go, and I grabbed it and yeah, it was a dollar. Bex Scott: [00:16:13] Oh, wow. Dariya: [00:16:14] I've never, ever thrifted another Catherine Holm or found one like for that price in the wild before. It was crazy. Bex Scott: [00:16:21] And did you keep that? Dariya: [00:16:21] And in amazing shape. Oh, yeah. Yeah. It's upstairs in my room. I'm like, I don't think I could ever part with it just because it was such a good deal. Bex Scott: [00:16:27] No kidding. Dariya: [00:16:28] Yeah, Bex Scott: [00:16:29] I have never. I don't have any Catherine Holm because I'm too scared to start that collection because it's so expensive. Dariya: [00:16:36] I guess I should say I do have a Catherine Holm collection too, and it is expensive, but I've, like I found. Well, I guess this isn't a thrift find, but it kind of is, it was on Etsy and from a shop in France. I got the green shaker canister sets from Catherine Holm for $20. Bex Scott: [00:16:57] Wow. Dariya: [00:16:57] Yeah. And the shipping for here was only $30, so it was like 50 bucks for the set. And usually those are like a couple hundred at least. And it was a brand new in the box, too. They had never been used. So. Bex Scott: [00:17:08] Do you think they just didn't know what it was? Dariya: [00:17:11] I think so because most of their stuff in their shop was like teacups and like plates and like that kind of stuff. So this was kind of like something wholly different for them. And it was labeled like enamel shaker set. Bex Scott: [00:17:23] Oh, yeah. Dariya: [00:17:24] Or spice set. Yeah. So I was like, oh, wow. And it had been listed for months too. And I just must have searched the right thing. And it came up and I was like, okay, add to cart. And yeah, they were in pristine condition when they arrived. And so that's another Catherine Holm score I had. Bex Scott: [00:17:40] That's amazing. Dariya: [00:17:41] Apparently I get some scores with the Catherine Holm. Bex Scott: [00:17:43] I need your luck. That'd be great. Yeah. I think back to how many things I've sold over the years that I probably didn't know what they were, and somebody got an amazing deal. Dariya: [00:17:54] Right? Yeah, I think about that too, especially in the early days of reselling, like, oh. Bex Scott: [00:18:01] Why are 20 people contacting me all at once for this bowl? Oh. That was a mistake. Dariya: [00:18:07] Yeah. But like, I'm not going to be one of those people who, like, say, oh, I'm going to raise the price. Like, I'll sell it for what I listed it for because that's my loss that I didn't research enough. But I hate it when some people say, yeah, it's available, you can come pick it up and then like an hour later, they're like, oh, apparently I can get more for it. So now I'm starting a bidding war and I'm like, oh no. Bex Scott: [00:18:27] That's so shifty. Dariya: [00:18:29] Yeah, it is. Just is. You got to honor that price you give because that's your mistake. Bex Scott: [00:18:34] Yeah, yeah. There's somebody that did that around my area with some mid-century lamps. And they were the really nice tall ones with, like, the atomic looking. Dariya: [00:18:44] Oh, yeah. Yeah. Bex Scott: [00:18:45] What's it called lamp pole? Yeah, but that's not. It's not a... yeah. Yeah and I wanted to buy them, and then they didn't get back to me, and they were relisted for like, 100 something dollars instead of 20. So. Dariya: [00:19:02] Yeah. Of course. Yeah. Yeah. That's so annoying. Marketplace sucks for that. Bex Scott: [00:19:07] It does. It's a fun hunt still, though. Dariya: [00:19:10] So it is. Yeah. Yeah. There's still gems to be found. Bex Scott: [00:19:12] Yeah. What would you say you know the most about in all of your collecting journey? Dariya: [00:19:21] Probably Pyrex, because it's the oldest collection I have. And then crewel embroidery and vintage linens would be like second. But I'm slowly learning more and more about vintage glass and how many different, like, vintage glass. Like whether it's Scandinavian or American glass. I'm still slowly learning more about that, which is kind of my goal, because there's just so much to learn about and know about. Same with, like, pottery. Vintage pottery. Bex Scott: [00:19:52] Oh, yeah. Dariya: [00:19:52] Canadian pottery. There's some really great pottery pieces out there, so I'm kind of starting to learn more. Watch some, like Whatnot pottery shows and like, learn more about the designers and stuff. So that's like kind of my goal to learn more about vintage pottery and glass. Bex Scott: [00:20:10] That's something that I've wanted to learn about as well, because I see so much pottery when I go thrifting. And then I look at the bottom and there's some artist signature, and then I get overwhelmed and yeah, I can't Google Lens it, so I give up. Dariya: [00:20:24] Yeah, yeah. Same. So I'm like I try and go with my gut. Sometimes my gut like is wrong and I leave something behind. And then I'm like, I shouldn't have left that. But yeah, but yeah, if it's nice and cute I'll still buy it. Just got to imagine if it's going to stay in my house for a while or if it's going to go. Bex Scott: [00:20:41] Yeah. Dariya: [00:20:42] Yeah. But Strawberry Hill Pottery I'm really liking. Bex Scott: [00:20:46] Oh yeah I think I've seen that. Dariya: [00:20:47] Their designs are gorgeous. Yeah, I got a mouse off of Marketplace. Cute. And then I found a bluebird on Whatnot, and it was, like, only $10 on Whatnot, so I was like, oh, I'll take that. Bex Scott: [00:21:01] Yeah, I'll have to look that up. Bluebirds, all the little, the Lefton and the Norcrest bluebirds. Dariya: [00:21:09] Yeah. You'd like this one because it's really pretty and it's kind of got that Bluebird vibe. Bex Scott: [00:21:15] Nice. And you mentioned vintage linens. I love vintage linens as well. Dariya: [00:21:20] I know I bought some many a linen from you. Bex Scott: [00:21:26] Oh, it's always exciting when you find the really brightly colored, like, great condition ones. I see so many that are faded or you think they're good, and then you start opening them and there's weird stains and holes, and... Dariya: [00:21:38] It's because they always have them in their garages. I go to a garage sale and they've got the pretty Wabasso sheets hung over their like, garage furniture, and I'm just like, I'll buy that. Like, I really like that. And I'll say like, oh, I use that on my bed right now. And they're like, why? I'm like, yeah, that's it's cute. Bex Scott: [00:21:55] Yeah, I'll buy your painting dropcloth that's on your garage floor. Dariya: [00:22:00] Exactly. Like how dare you? They're just looking at me like I'm crazy. Yeah. I have so many linens. Bex Scott: [00:22:09] And do they have specific pattern names? Because I don't know a lot about them. But are there patterns that are more sought after or...? Dariya: [00:22:17] Usually like the brand. Like, I know there are pattern names, but I can't remember off the top of my head, but like Wabasso like with the groovy floral daisies and stuff like that. And they come in different color schemes and in the rainbow. I can't remember the brand, but the rainbow, 80s rainbow sheets, they got really famous after Stranger Things. Bex Scott: [00:22:37] Right! Yeah. Dariya: [00:22:37] Yeah. So those are always like pretty sought after and higher end items. But yeah, I always just, anything groovy-ish, floral, like a rainbow, I always grab and my closet is overflowing with linens. But I use them and they're great. Honestly, they're great sheets. Bex Scott: [00:22:58] Mhm. I remember finding a set at the Salvation Army and I took them up to the till and the lady was like, why would you want to buy these? I remember these from when I was a teenager and they're so ugly. I was like, well thanks. Dariya: [00:23:11] Yeah. But not everyone thinks they're ugly because people are still buying them. Bex Scott: [00:23:15] Yeah, I'm going to use these and I'm going to love them. Dariya: [00:23:17] Yes. Give them a life. And I like how people upcycle with them, too, even if they're, you know, they may not be perfect to use anymore on the bed, but like, they can upcycle and make bags out of them and stuff, so it's great. Bex Scott: [00:23:29] Yeah. Or the, I asked my mom if she could take an old vintage towel and make, like, shorts or a hoodie for me, I love that. Dariya: [00:23:39] I bought a vintage towel shirt from someone in Calgary and it's so awesome. Like, and it's so cute and comfy in the summertime too. And yeah, I've even seen, like, bucket hats. Bex Scott: [00:23:50] Oh, that would be nice too. Dariya: [00:23:52] And there's someone on Instagram, I think it was Thrifters Delight on Instagram who took towel scraps and glued them to her vans. So then they looked like towel shoes. Bex Scott: [00:24:03] That's awesome. Dariya: [00:24:03] They're, and it was like, I'm not making it sound great, but it's like amazing looking. Like, you'll have to look it up too. I want to try that someday. Bex Scott: [00:24:12] Yeah. I saw somebody on Instagram who took old, like, Disney duvets and made them into little jackets. Dariya: [00:24:19] Yeah, like little puffer jackets and stuff. They're like $350. I need to be talented enough to sew myself, but I am not. Home Ec was not my strong point. Bex Scott: [00:24:31] Neither. No. Oh, yeah. I remember doing Home Ec with my friend and her sewing machine caught on fire, and I think that was the end of it for me. I was like, nope, I'm not sewing. Dariya: [00:24:41] Yeah, yeah. No, I would not either. Well, that was with me and IE class like first day teacher left me with the bandsaw and I nearly sliced my finger off and I had to go to the hospital and get stitches. Bex Scott: [00:24:53] Oh that's scary. Dariya: [00:24:54] I never went back into that class again. I was exempt. Bex Scott: [00:25:00] Almost lost a limb. Exempt. Dariya: [00:25:02] Yeah, yeah. They're like, she's not allowed in there. Bex Scott: [00:25:05] Yeah. Oh, and do you decorate your house with your vintage finds? Dariya: [00:25:12] Oh, yes. My husband built me a bunch of, like, floating shelves for the living room. So I have, like, six shelves, and they're honestly, they're, like, filled to the brim, but they look good. Bex Scott: [00:25:22] That's amazing. Dariya: [00:25:23] And, yeah, like, all my walls, I have, like, a mushroom gallery wall and, yeah, everywhere and anywhere I can get a little collection in and it's kind of fun too, because while I buy finished crewels, I also do a lot of the kits up myself, so I'm slowly adding to my wall each year. So it's like kind of like I can be proud of the decor because it's kind of something I'm doing on my own. So yeah. Bex Scott: [00:25:49] That's awesome. Dariya: [00:25:50] Yeah, it changes every year. Bex Scott: [00:25:52] Yeah. And then you can see the progress you've made, especially with the crewels. What it started off with and then... Dariya: [00:25:57] Yeah, I was like, oh I can't believe I did that at the beginning. Oh yeah. Bex Scott: [00:26:05] And how have you found reselling so far? I know that you've been reselling for quite a while, right? Dariya: [00:26:12] Yeah. When my first son was born, I kind of started not too long after he was born, I want to say, yeah, a few months. I just, like, I've always, like, loved buying vintage and then I kind of caught the bug to do a bit of reselling. And since I wasn't working anymore, it was kind of my way of like, earning my own money because, I mean, it was like, obviously my husband's money is my money too. But I wanted like, my own little squirrel nest for fun money and stuff like that. So that's kind of how I started. And I've just, yeah, I've really enjoyed doing it. It's been pretty good. I mean, it always has, I notice, like, it slows down and then it gets busy again. And, but that's kind of how I roll too, because I just list and post when I have the time. So, yeah, Christmas time is always nice and busy. Bex Scott: [00:27:04] Yeah. And it's fun finding all the little gifts you think people would like to buy in the Christmas decor. Dariya: [00:27:10] Yeah, yeah. I've had a couple times where I don't, I don't know if I pronounce this right, but Aritzia? Or is that, did I say that right? The clothing brand? Well, they bought some brass pieces from me, so. Bex Scott: [00:27:24] Oh, really? Dariya: [00:27:24] So I ship it to them. So that was fun. Bex Scott: [00:27:26] That's really cool. Dariya: [00:27:27] Yeah. I've always wanted, like, a movie set or something to buy something for me. So I was like, I'll take this. Bex Scott: [00:27:31] That's awesome. Dariya: [00:27:33] Yeah. Bex Scott: [00:27:34] I had a movie set buy an ice bucket from me once. Dariya: [00:27:37] Ooh that's exciting. Bex Scott: [00:27:38] And I can't remember what show it went into. It was a Netflix show, but that was the only thing that went somewhere else. Dariya: [00:27:45] Still so exciting. Yeah. Yeah. Bex Scott: [00:27:50] Nice. And where can people find you to buy your items? Dariya: [00:27:55] Instagram. Etsy though I'm kind of solely, just I think I'm going to slowly be closing up on Etsy soon and focusing on other areas. I started on eBay and then Whatnot, of course, and Knickknacks as well. Starting kind of there. It's a lot. Yeah. Bex Scott: [00:28:14] Yeah. I signed up to sell on knickknacks, and I haven't done anything with it yet. Dariya: [00:28:19] Yeah, I've done a couple shows. It's great, but it's just, yeah, one more thing for me to try and balance. So, I mean, once all the kids are in school and stuff, I can focus a bit more on online. But, yeah and then I do a few markets. I co-host a vintage market a couple times a year at Fika Coffee House in Camrose. We have like a backyard market. So yeah, you should come do it sometime. Bex Scott: [00:28:42] Yeah, I would love to. Dariya: [00:28:42] We have one this Saturday, so that's our last one of the year. And then I do an occasional market in Edmonton as well, but I'm mostly online for now. Just works perfectly for my schedule. Bex Scott: [00:28:54] Yeah. Yeah. Online is great. I, usually I started with Facebook Marketplace and then went to Whatnot and Poshmark and I used to sell a ton on Poshmark and I've kind of just let it die off. But I've gotten a few sales lately that were just out of the blue. Maybe I should go back on there. Dariya: [00:29:17] I know, yeah, like I get a random sale or two on Poshmark, but I'm like not too focused on it anymore, but it's kind of where I put like my last chance items, I guess. Yeah, yeah, yeah, but I'm enjoying eBay, actually. I don't know why it took me so long to try it out, but yeah, I had a vintage toy collection on consignment. So I was like, well, I'll try eBay because that kind of seems like the place to do it. Bex Scott: [00:29:41] It's good for toys. Dariya: [00:29:42] And it's been, yeah, it's been good, so I'm liking it. Bex Scott: [00:29:45] I might have to pick your brain about eBay, because I've always been too scared to try it out. Dariya: [00:29:49] Yeah. Me too for some reason, I don't know why. And it's actually really easy. So. And yeah, so I think I'm going to start moving my Etsy listings over to eBay and close out my Etsy shop. Yeah. Bex Scott: [00:30:01] So is your handle the same across all platforms? Thrifty Fox Shop? Dariya: [00:30:06] Yeah. Yeah. Bex Scott: [00:30:07] Perfect. So everybody can find you on all of those. Dariya: [00:30:10] Yes, exactly. Make it easy. Bex Scott: [00:30:14] And do you have any closing remarks or tips or tricks for people who want to get into vintage collecting or reselling? Dariya: [00:30:24] For reselling I say like, focus on the things that you're passionate about, because again, when you're reselling, you can tell whether you're passionate about something or if it's just something that you just picked up to sell, and it makes a difference. And because I always, I'm very picky about what I buy to resell, because I have to like it myself in order to resell it, so I'm very picky that way. But then it kind of like makes you form your shop personality, right? So you're known for selling this or, you know, mid-century modern items or kitschy items or, and you don't have to stay within those parameters, but like, that's like the main focus. And I think that helps a lot too, in gaining followers. Bex Scott: [00:31:08] Yeah I agree. Dariya: [00:31:10] Yeah. And for collecting I, honestly just collect what you love. Like some people say that they want to stay in a certain like type, like boho or, you know, and I'm like, I'm all over the place. I'm mid-century modern, I'm kitschy, I'm boho. I'm like all kinds of different. And so it's just like, collect what you love, decorate how you love to decorate. Like, I always get like, oh, but like, what about the resale value of your house? And I'm like, I don't care. Bex Scott: [00:31:38] Yeah, this is what I love. I'm going to do it. Dariya: [00:31:41] Yeah. This is what makes me happy and I'm going to paint my house a certain color to match my vintage decor. And it's, yeah, that's, I don't know why people have to live in a box and not decorate or anything. Just. Bex Scott: [00:31:53] Yeah, exactly. Dariya: [00:31:54] Decorate how you want, buy what you want. You'll be happy for it. Bex Scott: [00:31:59] I agree with all of those points. Yeah, yeah. Perfect. Well, thank you so much for being on the show today. And everybody make sure you go find Dariya on all of the platforms she mentioned at the Thrifty Fox Shop. Dariya: [00:32:15] Awesome. And I'll see you on Whatnot again. Bex Scott: [00:32:17] Yes. Sounds good. Dariya: [00:32:19] This Sunday actually. Bex Scott: [00:32:20] Yeah. It's coming up fast. Dariya: [00:32:21] Yeah. Got to get prepared. 

Join us for an insightful session on how to unlock the true potential of your data. There are various tools and technologies that help enable data monetization. This talk will feature the extremely effective ThoughtSpot Embedded. We will host a thought-provoking panel discussion, designed to provide insights from seasoned professionals who are ready to share their expertise and real-world experiences.   Agenda: Our collective aim is to uncover the essential components of monetization and democratization (specifically for the financial services industry) within an analytics framework, empowering our attendees to unlock the full potential of their data resources. Throughout the session, we'll delve into critical topics such as: Customer retention enhancement The strategic shift of analytics from a cost center to a profit center The untapped potential of natural language processing How the financial services industry can specifically monetize data   About our Speakers:    Mike Lampa: Mike Lampa is a seasoned expert in digital transformation, focusing on modernizing enterprise data and analytics programs. With over 20 years of experience, Mike excels in implementing advanced technology tools and platforms. As a dedicated mentor, he guides seamless transitions and enhances analytics programs across various industries, including banking, manufacturing, telecommunications, oil and gas, retail, and consumer packaged goods. His expertise and dedication drive successful transformations, empowering organizations to thrive in the digital era.   Brian Reynolds: Brian Reynolds helps lead the Embedded Analytics Go To Market team globally at ThoughtSpot. He's passionate about the incredible potential that data holds for businesses to grow and enhance their customer relationships. With years of experience working for industry leaders in data and analytics such as Tableau, Accenture, Starburst and GoodData, Brian has helped businesses of all sizes, from seed-stage startups to Wall Street banks tackle the challenge of delivering information and insights to their customers. During his tenure at Tableau, Brian played a key role in launching and growing the embedded analytics group to $250M per year business line.   Explore our Online Presence: Dive into content and information on our website: https://www.greatdataminds.com/ Stay updated on upcoming events: https://www.greatdataminds.com/events/ Discover our services at: https://hike2.com/service/data-analyt... Join us on Social Media: LinkedIn:   / great-data-minds  

This 80s Flick was just your standard love story: boy meets girl, boy falls for girl, girl turns out to be a fish. This beloved film captivated audiences with its whimsical blend of comedy, fantasy, and heartwarming romance. From the moment the mermaid first emerges from the ocean waves, the story sweeps us away on an unforgettable journey. How will she adapt to life on land? And can her budding relationship with the man who rescued her overcome the challenges of their vastly different worlds? Join us as we dive deep into the film's enduring legacy, the talented cast, and the magic that made it an iconic romantic comedy. So catch a cab to Cape Cod, order some fresh lobster, and fill up the bathtub with salt water as Tim Williams with guest co-hosts, Ben Carpenter and Bethany Wells, discuss “Splash” from 1984 on this episode of the 80's Flick Flashback Podcast! Here are some additional behind-the-scenes trivia we were unable to cover in this episode: In a June 1984 issue of the British sci-fi magazine "Starburst," Ron Howard discussed the ending of "Splash." He mentioned, "At one point, we considered a bittersweet ending instead of a happy one. However, our wives protested about it so much that we decided to listen to them—and I'm really glad we did!" Sources: Wikipedia, IMDB, Rotten Tomatoes, Box Office Mojo, https://www.empireonline.com/movies/features/daryl-hannah-shares-secrets-splash/ https://www.mentalfloss.com/article/76738/15-surprising-facts-about-splash Some sections were composed by ChatGPT   We'd love to hear your thoughts on our podcast! You can share your feedback with us via email or social media. Your opinions are incredibly valuable to us, and we'd be so grateful to know what you enjoyed about our show. If we missed anything or if you have any suggestions for 80s movies, we'd love to hear them too! If you're feeling extra supportive, you can even become a subscription member through "Buy Me A Coffee". For more details and other fun extensions of our podcast, check out this link. Thank you for your support! https://linktr.ee/80sFlickFlashback

October has ended, so it's time for another News Round-Up. The conversation covers werewolves, toy-to-movie adaptations, and justifiable sequels. Craig McKenzie can be found on this very site and over on We Are Starfleet on the Film Stories podcast network. Andrew's work can be found on this site and on the Starburst website. Show Notes TV Reviews Craig's reviews of Star Trek: Picard season 3 Craig's reviews of What If...? Movie Reviews Craig's review of Transformers One Craig's review of Bumblebee Craig's review of Transformers: Rise of the Beasts Craig's review of Shang Chi and the Legend of the Ten Rings Craig's review of Doctor Strange in the Multiverse of Madness Craig's review of The Marvels Craig's review of Alien: Covenant Craig's review of Alien: Romulus Craig's review of Venom Craig's review of Venom: Let There Be Carnage Craig's review of Morbius Craig's review of Madame Web Craig's review of Suicide Squad Craig's review of Wonder Woman 1984 Craig's review of Shazam!: Fury of the Gods Craig's review of The Suicide Squad Craig's review of The Flash Craig's review of DC's League of Super Pets Craig's review of A Quiet Place Craig's review of A Quiet Place Part II Craig's review of It Follows Craig's review of How To Train Your Dragon 2 Craig's review of How To Train Your Dragon: The Hidden World Craig's review of John Wick Craig's review of John Wick: Chapter 2 Craig's review of John Wick: Chapter 3 – Parabellum Craig's review of Moana Craig's review of Skyscraper Craig's review of Snake Eyes: G.I. Jones Origins Craig's review of Goosebumps Craig's review of Project Almanac Craig's review of Coco Craig's review of Lightyear Craig's review of Free Guy Craig's review of Tenet Craig's review of Central Intelligence Craig's review of It Follows Craig's review of Eye in the Sky Craig's review of Terminator: Genisys Craig's review of Resident Evil: Welcome to Raccoon City Craig's review of Prey Craig's review of Tomb Raider Craig's review of Cruella Craig's review of The Greatest Showman Graeme's review of Ghostbusters (2016) Podcasts Bumblebee Star Trek: Picard season 3 What If...? Shang Chi and the Legend of the Ten Rings Doctor Strange in the Multiverse of Madness The Marvels Venom Madame Web Legion Suicide Squad The Suicide Squad The Flash Our Alien Day coverage The 2022 Christmas Movie Writer's Room Trailers Dream Productions Goosebumps: The Vanishing Wolf Man Werewolves Nosferatu The Monkey Better Man The Legend of Ochi Love Hurts Time Travel Is Dangerous Rumours Babygirl The Order A Complete Unknown The Electric State Moana 2 From the World of John Wick: Ballerina Creature Commandos Dune: Prophecy Star Trek: Strange New Worlds NYCC exclusive clip The Last Of Us season 2 A Man on the Inside The Man in the White Van Elevation Companion Cruel Intentions Our Little Secret Hot Frosty Spellbound Upcoming Marvel TV News Tom Holland talks Spider-Man 4 Blade delayed indefinitely Animated Dynamic Duo movie in development Aaron Pierre cast as John Stewart in Lanterns First look at Krypto in Superman Tatiana Maslany cast in Star Trek: Starfleet Academy Rhys Darby to guest star on Star Trek: Strange New Worlds The Wild Robot sequel confirmed Robocop TV series sets showrunner Another The Big Bang Theory spinoff Robert Downey Jr eyed to star in The Hider A Scrubs reboot is “very close” Sam Hargrave to direct Shinobi movie Christopher Nolan's next movie Tom Holland cast in Christopher Nolan's next movie Christy Martin biopic casting Sydney Sweeney and Amanda Seyfried to star in The Housemaid UK adaptation of Cheers in development Live-action Rugrats movie in development Will Smith and Michael Bay to reteam for Fast and Loose Katy O'Brien cast in The Running Man remake Josh Brolin in final talks to play villain in The Running Man remake View-Master movie in the works Luca Guadagnino to direct American Psycho movie Daniel Day-Lewis returns to acting Jason Clarke cast in Kathryn Bigelow's next movie James Dean biopic in the works Henry Cavill to star in Voltron movie Rachel McAdams in talks to star in Sam Raimi's Send Help Mike Flanagan to adapt Carrie as a TV show Ready or Not 2 in the works Queen Latifah biopic in the works KJ Apa to star in Sublime biopic Ke Huy Quan to star in action thriller Fairytale in New York Amber Midthunder and Alan Ritchson to star in Painter Jessica Chastain, Brendan Fraser and Bryan Cranston cast in Assassination Rey-centric Star Wars movie loses writer Good Omens to end with 90 minute episode Sophie Turner & Lucy Boynton testing for Lara Croft in Amazon's Tomb Raider series Alien: Romulus sequel and “secret” Predator movie in the works Chris Hemsworth in talks to lead Paul King Prince Charming movie Oregon Trail movie in the works at Apple First look at Spider-Man: Noir costume A new Scary Movie in the works Misc Craig's appearance on the Reel Talk Halloween special Rahul Kohli's appearance on "Inside of You" with Michael Rosenbaum Alan Ritchson's appearance on "Inside of You" with Michael Rosenbaum The referenced Swoop video about Blake Lively Music Niall Stenson's cover of the “Spider-Man: Homecoming opening fanfare”, the "Spider-Man: Homecoming theme" and his YouTube channel If you enjoyed what you heard here, please subscribe to Kneel Before Pod. If you have any feedback then we'd love to hear it. You can find us on Facebook ,Twitter and BlueSky. You can also make yourself known in the comments section below or you can join us on Discord.

From innovating custom A.I. solutions in advertising since 2016 to revolutionizing how brands create content at the speed of culture, meet Dustin Callif. As President of Tool, a creative production partner based in Santa Monica, Dustin leads a team that blends traditional filmmaking with cutting-edge A.I. technology to create groundbreaking commercial content for some of the world's most recognized brands, like Toyota, T-Mobile, and Coca-Cola. He is also responsible for founding Tool's Experience group, which has been at the forefront of experiential design and creative technology.   On stages at conferences like MAICON, SXSW, and Cannes Advertising Festival, he shares Tool's approach to developing their evolved creative production model, providing unique solutions for brands, including training A.I. on a brand's owned assets. In today's conversation, you'll hear how Tool is pushing the boundaries of A.I. in advertising while maintaining high creative standards and commercial viability through their campaign work in addition to workflow and content pipeline optimization. Dustin shares impressive case studies, including how they created a television commercial for Under Armour in four weeks without the actual talent, all enabled by A.I. and traditional post-production editing. Another one is an innovative approach of creating modular content for Starburst that is different every time for the viewer, deploying what he calls “A.I. Style Transfer.” Not only does Tool put A.I. to work, but they also identify world-class A.I. talent, matching directors, like Creativity Squared guest Nem Perez, with innovative agencies and brands. We also discuss the evolving legal landscape around A.I.-generated content for brands. Join us for an insider's look at how A.I. is transforming advertising and content creation from one of the industry's leading innovators who not only embraces the creative possibilities but leverages A.I. to drive real business value and efficiency. EPISODE SHOW NOTES: https://creativitysquared.com/podcast/ep70-dustin-callif-creative-at-the-speed-of-culture-and-genai/ JOIN CREATIVITY SQUARED Sign up for our free weekly newsletter: https://creativitysquared.com/newsletter  Become a premium member: https://creativitysquared.com/supporters  SUBSCRIBE Subscribe on your favorite podcast platform: https://creativitysquared.com Subscribe for more videos: https://youtube.com/@creativity_squared/?sub_confirmation=1 CONNECT with C^2 https://instagram.com/creativitysquaredpodcast https://facebook.com/CreativitySquaredPodcast https://giphy.com/channel/CreativitySquared https://tumblr.com/blog/creativitysquared https://tiktok.com/@creativitysquaredpodcast #CreativitySquared CONNECT with Helen Todd, the human behind C^2 https://instagram.com/helenstravels https://twitter.com/helenstravels https://linkedin.com/in/helentodd https://pinterest.com/helentodd Creativity Squared explores how creatives are collaborating with artificial intelligence in your inbox, on YouTube, and on your preferred podcast platform.  Because it's important to support artists, 10% of all revenue Creativity Squared generates will go to ArtsWave, a nationally recognized non-profit that supports over 100 arts organizations. This show is produced and made possible by the team at PLAY Audio Agency: https://playaudioagency.com. Creativity Squared is brought to you by Sociality Squared, a social media agency who understands the magic of bringing people together around what they value and love: http://socialitysquared.com.  #CreativeTechnology #ContentCreation #Innovation #Creativity #CreativeTech #Creators #Creatives #Artists #AIArtist #ContentCreators #AIPodcast #AITechnology #DigitalCreativity #Filmmaking #AIFilm #AIArt #FutureTechnology #ArtificialIntelligenceArt #AIArtCommunity #AITech #GenerativeArt #FutureTech #DigitalArtist #AIGeneratedArt #AICreative #PodcastCommunity #TechPodcast #AIPodcast #PodcastHost

TO BAY OR NOT TO BAY: Starburst full 231 Wed, 23 Oct 2024 16:37:56 +0000 BuulZ5SBaXwA7ZLE7qoaCgmUnDQ51yC7 food,music,society & culture,news Kramer & Jess On Demand Podcast food,music,society & culture,news TO BAY OR NOT TO BAY: Starburst Highlights from the Kramer & Jess Show. 2024 © 2021 Audacy, Inc. Music Society & Culture News False https://player.amperwavepodcasting.com?feed-link=https%3A%2F%

Hour 2: Around the NFL, Blake on Mavs, Wrapped Starburst Challenge full 2660 Thu, 17 Oct 2024 04:07:36 +0000 0rWcpxUxCdopwRS735CGeQhEYVu8FCYm sports The Get Right sports Hour 2: Around the NFL, Blake on Mavs, Wrapped Starburst Challenge The Get Right with Reginald Adetula is a truth-telling sports entertainment experience that gets listeners right on the biggest sports topics in and around DFW, across the country, and around the world. Focusing on the Cowboys, Rangers, Mavericks, etc., The Get Right airs M-F from 7-11 PM and is the only live and local sports radio show in the Metroplex. Blending wit, humor, and candid conversation, Reg brings a fresh perspective on the sports topics of the day that engages all listeners, no matter their favorite sport. With can't miss segments like 'This or That,' Reggie aims to bring entertainment and fun to every sports conversation, no matter the subject. Come 'Get Right' with Reg on The Fan, and be prepared for sports talk on a whole new level. You can follow Reg on Twitter @regadetula 2024 © 2021 Audacy, Inc. Sports False https://player.amperwavepo

The highly distributed, dispersed and dynamic nature of enterprise data fuels demand for robust data-query engines for analytics and to drive intelligence. In this episode of the Tech Disruptors podcast, Starburst CEO Justin Borgman joins Sunil Rajgopal, senior software analyst at Bloomberg Intelligence, to discuss the shifting landscape for these products. They examine the future of data solutions, the evolving competitive landscape and developers' embrace of open-table formats like Apache Iceberg, with Borgman saying this was “the summer of Iceberg.” The two also talk about Starburst's product journey, competition with Dremio and Snowflake, and corporate IT-spending momentum.

My mom's boyfriend threw out my carseat and blocked me on her phone because I ate the Starburst and pineapple chunks he was going to give out to Trick or Treaters and drank his Svedish Fish Svedka. Now he hides all his candy in the urn that he said my grandma was in but both of mine are still alive unlike LOOM   Full episode at https://www.patreon.com/ChapoFYM

This week we try to determine which Taylor Swift fame-leveled celebrity will endorse (or has endorsed already) Donald Trump! We also design a haunted house, rank the original Starburst flavors, decide if we want to be a cowboy, and decide if we'd like to kiss a snowman! These questions were apparently written by a teenager at NASA Then, we round out the week with a game of NAME THIS BAND'S SECOND MOST PLAYED SONG ON SPOTIFY! And you'd better believe we dive DEEP on the works of Weezer, The Baha Men, and William Hung.

LIVE FROM OBI'S DECREPIT APARTMENT, IT'S APPLES AND ORANGES!

Christian Longo, 19, married his wife MaryJane, 26, in 1993 in Ann Arbor, Michigan. The couple had three children in rapid succession, Zachery, Sadie, and Madison. Chris was the sole breadwinner in the family and after his business, Final Touch Construction Cleaning, began to fail, he struggled to keep his family afloat and soon turned to a life of crime to make ends meet writing counterfeit checks. The family was in dire straits financially and had alienated all of their friends and family through Chris' lies and deception.They decided to head to the Oregon coast for a fresh start but soon Chris and MaryJane were out of money and options.On December 19, 2002, the body of Zachery Longo, 4, was found floating in the water. Soon after, his sister's body was found in the same waters; later two suitcases were found containing the bodies of MaryJane and Madison.Days later, Christian Longo fled the country for Cancun Mexico.Support us on Patreon.Today's snack: Starburst

The hosts welcome NOSH managing editor Monica Watrous to the show as they discuss Mars' $36 billion acquisition of Kellanova, including key takeaways from the deal, its impact on the food industry and why it may spur a flow of M&A activity among entrepreneurial companies.  Show notes: 0:35: Ripple Effect. Bread Certified. Yu Try That New Brew? Cold Kelce. Meet Tha Kids. – Ray and Mike are OOO, so no soccer banter, but Monica is here to share the deets on a couple new episodes of CPG Week and her plans for the upcoming Newtopia Now trade show. She also presents a historical perspective and analysis of the Mars/Kellanova deal before John highlights a Linkedin post penned by Once Upon A Farm co-founder and CEO John Foraker about the potential for it to “start an avalanche.” The hosts munch on chia-laden snacks, sip on Liquid Death's chocolatey collaboration with Van Leeuwen Ice Cream, tease a peanut butter taste test and praise a new premium instant coffee. Brands in this episode: Once Upon a Farm, M&Ms, Snickers, Dove Chocolate, Rice Krispies, Pop-Tarts, Pringles, Cheez-It, Starburst, Skittles, Twix, Kind Snacks, TruFru, Natural Heaven Foods, SkinnyPop, Pirate's Booty, Dot's Pretzels, RXBAR, Nutrigrain, Nature's Bakery, Chia Smash, Liquid Death, Van Leeuwen, One Trick Pony, Diamond Brew, Ruby Jean's Juicery

Grab your beaker and tare your scale because the Nose Candy ladies are back in the lab to talk about the science of scent. This week Maddie and Chloe are joined by genius artist and aroma chemist Sean Raspet to discuss the process of creating a scent on the molecular level, and to sniff through some of Sean's unreleased fragrance molecules. That means they're talking about everything from the scent of seafaring melon, to floral formaldehyde, to eau de air conditioning. Whether you want to smell like ethical manufacturing practices, a "mystery" Starburst flavor or the scent of betrayal, this is one atomic episode you will not want to miss! Want even more Sean Raspet? Visit patina.earth to learn more about his work in new fragrance molecule design, follow him at @patina.earth and @seanraspet and email him at sean@patina.earth!Fragrances discussed:Ganymede by by Marc-Antoine BarroisChanel #5Aromatics Elixir by CliniqueAngel by MuglerLoverdose by DieselPhilosykos by DiptyqueSantal 33 by Le LaboCarnal Flower by Frederic MalleRose Tonnerre by Frederic Malle Hosted on Acast. See acast.com/privacy for more information.

Have you ever applied for a job and wondered if anyone looked at your application? What if you found out that the job didn’t even exist? Marissa tells us all about this disturbing trend. Pete likes Starburst water, Marissa went canoeing in e coli, and we both want Marissa to get work. Do you have […]

Tea friends, welcome back to Teatime with Jesse! On this episode, we have Nick Touma ( @nicktguy ) that guy on Youtube that makes candy art. If you ever wondered what it takes to get to over 1 million subscribers on Youtube, well, for this guy it was lots of trial and error, plus over 70lbs of candy! We talk about what it takes to be a content creator, getting started, understanding your audience, and walking a mile in candy shoes. Content creating is really a whole journey. Anyway, of course we have some tea! Try Three Treasures Chen Pi (Mandarin Peel) White Tea: https://jessesteahouse.com/products/three-treasures-chen-pi-mandarin-peel-white-tea Pre-order our Oolong Sampler Box: https://jessesteahouse.com/products/jesse-in-taiwan-mystery-tea-drop Join Jesse's Tea Club: https://jessesteahouse.com/products/jesses-tea-club-subscription-service 4:00 Big puff (Tea pet) 6:07 NickTGuy's Youtube Journey 7:27 Growing up and changing interests 08:26 Setting intentions with Youtube 9:38 TikTok vs. Youtube 10:58 TikTok as a slot machine 11:53 The start of NickTGuy candy art 13:23 The journey of the tea flavor 11:26 The Starburst ball 14:08 “That thing took over my life forsure” 13:14 Steeps and tea journey 15:29 Phone addiction 21:48 Context and content, 23:34 Shift in content 29:48 Can't pour from empty cup 35:06 Sister Ai's red tea cake 44:00 Starting out as a content creator 44:30 The hidden cost of time investment 48:32 The barrier of entry to create 50:24 Creativity is sharing your perspective 53:13 Be yourself 55:00 The channel is the movie 55:16 Series content 55:35 Using charmander to defrost someone 57:28 Art's value is deemed by the limitations 59:44 Bringing people into your world 1:01:39 What's art vs. commodity? 1:05:43 If you wanted to you would 1:07:29 The moment you sell too hard, you lose the audience 1:08:21 Taking a break from content 1:09:25 Output vs. quality 1:13:03 Lightning round 1:13:24 Passion and work 1:13:42 Stop caring about other people's opinions 1:14:04 Dream project made of candy 1:14:52 What's it like meeting Mr. Beast 1:17:43 Anything for the shot #contentcreation #youtubejourney #jessesteahouse #teatimewithjesse #looseleaftea #gongfucha #kungfutea #chinesetea #chineseteaculture

Joining us this week on Merchants of Change is Chrissy Gikas, former collegiate softball player and current Sales Development Manager at Starburst!Tune in Thursday for the full conversation on how athletes can leverage their unique skills into success in their new uniform!4:40 Transition to Sales16:49 Skills That Translate from Sports to Sales14:46 Advice to Senior Athletes Preparing to Transition27:18 Why I Love Sales----------------------Connect with us on social @shift_hq on all platforms! Today's guest: https://www.linkedin.com/in/chrissy-gikas-83856ab3/Shift Group bridges the gap between military veterans, former athletes, and the business world through coaching and career upskilling. Our mission is to help these individuals unlock their unique skills and experiences and match them with top-tier companies in need of resilient, coachable, and team-oriented professionals. The Shift Connect platform, accelerates learning and streamlines the hiring process by connecting employers with pre-vetted candidates who are ready to excel. Customers reduce hiring time, lower costs, increase growth rates and improve retention. Shift Group is committed to helping businesses build high-performing teams and supporting veterans and athletes in their career development.Discover how Shift Group can transform your hiring process and unlock the potential of exceptional talent. Visit us at shiftgroup.io to learn more.

I've been a part of hundreds of new product development and innovation sprints throughout my career. Whenever any CPG industry colleagues ask me about my personal flavor preference…I always say citrus. And that makes A LOT of sense when you realize that my favorite childhood pop growing up was Squirt or Sprite…and that I probably ate my weight in orange and lemon Starburst. Even as an adult kid…my go-to powdered supplements, hydration beverages, or energy drinks usually center around citrus flavors. I'm mentioning all this because you'd think, a citrus lover like me, I would be acutely aware of Matt McLean and his company Uncle Matt's Organic (the largest organic orange juice company in the United States). But with the decadelong massive proliferation of products and brands across the different functional CPG categories that I deeply analyze…it unfortunately creates blind spots (or the inability to dig deeper across the entire CPG business landscape). Though that's the great thing about these conversational content pieces…because I get to find those fascinating individuals that are indirectly related (but pivotal) to my core functional CPG categories. And I think you're going to love hearing Matt's story that spans a quarter-century…from a family farm side hustle to national CPG brand that exits to Dean Foods in 2017 until he buys Uncle Matt's Organic back several years later during the Dean Foods bankruptcy. There are lots of great/bad/ugly moments from the Uncle Matt's Organic journey, but we talk through how everything made the company's strategic approach, mission, and vision stronger…including his passionate commitment to lead from the front and push the citrus industry forward. Whether that's involved with overcoming the extremely impactful citrus greening disease, regenerative and organic farming practices, and philanthropy. We end the conversation with another area that Matt likes to lead from the front…and that's product innovation (even creating performance nutrition products with orange juice as the vessel). But these are just some of the interesting topics we chatted about in this episode... FOLLOW ME ON MY SOCIAL MEDIA ACCOUNTS ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LINKEDIN⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YOUTUBE⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TWITTER⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠INSTAGRAM⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠FACEBOOK⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ --- Support this podcast: https://podcasters.spotify.com/pod/show/joshua-schall/support

July 2024 is behind us but it left behind a legacy of news and trailers that will linger. The conversations cover the fixation on Dexter, Mark Wahlberg's comeback and Comic-Con confusion. Craig McKenzie can be found on this very site and over on We Are Starfleet on the Film Stories podcast network. Andrew's work can be found on this site and on the Starburst website. Chris Mackrell can also be found on a Sunday between 12 and 2pm GMT live on Black Diamond FM. Show Notes TV Reviews Craig's review of Star Trek: Prodigy season 2 Craig's reviews of WandaVision Craig's reviews of She-Hulk: Attorney At Law Craig's reviews of Star Trek: Strange New Worlds season 1 Craig's reviews of Star Trek: Strange New Worlds season 2 Movie Reviews Craig's review of Shang Chi and the Legend of the Ten Rings Craig's review of Doctor Strange in the Multiverse of Madness Craig's review of Madame Web Craig's review of Top Gun: Maverick Craig's review of Hacksaw Ridge Craig's review of The Batman Craig's review of Upgraded Craig's review of The Tomorrow War Craig's review of Bohemian Rhapsody Craig's review of Nerve Craig's review of Brooklyn Craig's review of Terminator: Genisys Craig's review of Solo: A Star Wars Story Craig's review of Don't Breathe Graeme's review of Ghostbusters (2016) Podcasts X-Men Origins: Wolverine Doctor Who series 1 Star Trek: Strange New Worlds season 1 Star Trek: Strange New Worlds season 2 WandaVision She-Hulk: Attorney At Law Shang Chi and the Legend of the Ten Rings Doctor Strange in the Multiverse of Madness Craig's review of Morbius Madame Web The Batman Solo: A Star Wars Story Hellboy Legion Trailers Red One Here Heretic The Perfect Couple Afraid The Substance Bando Stone & the New World The Union Flight Risk Jackpot F1 We Live in Time My Old Ass Gladiator II Terminator Zero Hellboy The Crooked Man Watchmen Chapter 1 Agatha All Along Captain America: Brave New World A Complete Unknown Day of the Jackal Dune: Prophecy Beetlejuice, Beetlejuice Joker: Folie A Deux Transformers One Alien: Romulus The Lord of the Rings: The Rings of Power season 2 Hellboy: The Crooked Man trailer 2 Doctor Who “A Message of Joy” Christmas Special The Penguin Creature Commandos Superman & Lois season 4 first look Superman & Lois season 4 teaser trailer Dexter: Original Sin Star Trek: Strange New Worlds season 3 first look Star Trek: Section 31 teaser Star Trek: Lower Decks season 5 teaser News Brendan Gleeson cast as villain in Spider-Man: Noir A Nova TV show in development Lanterns TV series gets the green light Sandman season 2 casting Star Trek: Starfleet Academy adds 3 to cast The Adam Project writer to pen Shawn Levy's Star Wars movie Harry Potter HBO series gets its creative team Van Helsing series in the works Sam Raimi to direct Send Help Richard E. Grant and Tom Ellis join The Thursday Murder Club Regina King cast in Darren Aronofsky's Caught Stealing Shrek 5 announced Sirens rounds out main cast Jonathan Frakes to direct Venus Prime The Devil Wears Prada sequel in the works Jennifer Lawrence to star in Why Don't You Love Me? Jennifer Lawrence to star in and produce The Wives Sarah Michelle Gellar joins Dexter: Original Sin Ryan Gosling to produce zombie comedy Conor Leslie to star in Archangel Zac Efron's Famous I Know What You Did Last Summer reboot casting Brendan Fraser to star as Dwight D. Eisenhower Doctor Who spinoff Dexter sequel series The Boys prequel series Marvel San Diego Comic-Con announcements Star Trek comedy show in development Star Trek: Starfleet Academy casts familiar actors Misc Craig's appearance on Reel Talk for A Quiet Place: Day One The referenced deleted scene from the Star Trek: Enterprise episode "In A  Mirror Darkly Part 2" One Rules Them All on the Film Stories podcast network Music Niall Stenson's cover of the “Marvel Music“ and his YouTube channel Captain Meatshield's cover of the "Star Trek: Strange New Worlds theme" and his YouTube channel If you enjoyed what you heard here, please subscribe to Kneel Before Pod. If you have any feedback then we'd love to hear it. You can find us on Facebook ,Twitter and BlueSky. You can also make yourself known in the comments section below or you can join us on Discord.

We hope you're hungry! It's time to set the table for this new “BEST OF” 2-PACK! First, Nick and the late great Brandon Coffman get fruity as they reveal and discuss the Top 10 Most Popular Fruits Worldwide (Episode 134). Then, immediately following that, Nick and the meaty Dr. Buster break down the Top 10 Most Consumed Animal Meats (Episode 173). ---------------------------------------------- Summary of Episode 134: Most Popular Fruits Worldwide, originally released June 2021 Which fruits are consumed most globally? On this episode, Nick tries to guess the Top 10 Most Popular Fruits Worldwide, ranked by the millions of tons harvested annually. PLUS ... the origins of each fruit in the Top 10, the unique history behind each fruit, our favorite and least-favorite fruits, Christopher Columbus, orange sex, “Frankenstein Banana”, the history behind fruit and racist stereotypes, Mel Gibson and the Cowardly Lion, “God's little Starburst wrapper”, erotic transformation, and MUCH more. ---------------------------------------------- Summary of Episode 173: Most Consumed Animal Meats, originally released May 2022 Pork. Beef. Blob Fish? What animals can humans just not get enough of in their bellies? On this episode, Dr. Buster returns as sidekick host to guess the Top 10 Most Consumed Animal Meats Worldwide, ranked globally by their average annual production. PLUS... the history of humans eating animals, the most environmentally-friendly animal meats, the top countries for producing each type of meat, rabbit punching, animal eggs, obscure animal meats, and MUCH more. IMAGES: the Blob Fish a Goat's eye Gerald the angry turkey ------------------------------------------- Save 10% at https://www.10ishpod.com/merch with promo code BUTT ------------------------------------------- NEWSLETTER: https://10ishpod.com/newsletter AD-FREE EPISODES: https://10ishpod.com/plus MERCH: https://www.10ishpod.com/merch TIKTOK: https://www.tiktok.com/@10ishpod X (Twitter): https://www.x.com/10ishpod INSTAGRAM: https://www.instagram.com/10ishpod ------------------------------------------- 10ish Podcast Theme Music: Hackbeat by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/by/3.0 Ad Music (10ish Pod Merch): There It Is by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/by/3.0 ------------------------------------------- Learn more about your ad choices. Visit megaphone.fm/adchoices

Summary This episode features an insightful conversation with Petr Janda, the CEO and founder of Synq. Petr shares his journey from being an engineer to founding Synq, emphasizing the importance of treating data systems with the same rigor as engineering systems. He discusses the challenges and solutions in data reliability, including the need for transparency and ownership in data systems. Synq's platform helps data teams manage incidents, understand data dependencies, and ensure data quality by providing insights and automation capabilities. Petr emphasizes the need for a holistic approach to data reliability, integrating data systems into broader business processes. He highlights the role of data teams in modern organizations and how Synq is empowering them to achieve this. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Petr Janda about Synq, a data reliability platform focused on leveling up data teams by supporting a culture of engineering rigor Interview Introduction How did you get involved in the area of data management? Can you describe what Synq is and the story behind it? Data observability/reliability is a category that grew rapidly over the past ~5 years and has several vendors focused on different elements of the problem. What are the capabilities that you saw as lacking in the ecosystem which you are looking to address? Operational/infrastructure engineers have spent the past decade honing their approach to incident management and uptime commitments. How do those concepts map to the responsibilities and workflows of data teams? Tooling only plays a small part in SLAs and incident management. How does Synq help to support the cultural transformation that is necessary? What does an on-call rotation for a data engineer/data platform engineer look like as compared with an application-focused team? How does the focus on data assets/data products shift your approach to observability as compared to a table/pipeline centric approach? With the focus on sharing ownership beyond the boundaries on the data team there is a strong correlation with data governance principles. How do you see organizations incorporating Synq into their approach to data governance/compliance? Can you describe how Synq is designed/implemented? How have the scope and goals of the product changed since you first started working on it? For a team who is onboarding onto Synq, what are the steps required to get it integrated into their technology stack and workflows? What are the types of incidents/errors that you are able to identify and alert on? What does a typical incident/error resolution process look like with Synq? What are the most interesting, innovative, or unexpected ways that you have seen Synq used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Synq? When is Synq the wrong choice? What do you have planned for the future of Synq? Contact Info LinkedIn (https://www.linkedin.com/in/petr-janda/?originalSubdomain=dk) Substack (https://substack.com/@petrjanda) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com) with your story. Links Synq (https://www.synq.io/) Incident Management (https://www.pagerduty.com/resources/learn/what-is-incident-management/) SLA == Service Level Agreement (https://en.wikipedia.org/wiki/Service-level_agreement) Data Governance (https://en.wikipedia.org/wiki/Data_governance) Podcast Episode (https://www.dataengineeringpodcast.com/nicola-askham-practical-data-governance-episode-428) PagerDuty (https://www.pagerduty.com/) OpsGenie (https://www.atlassian.com/software/opsgenie) Clickhouse (https://clickhouse.com/) Podcast Episode (https://www.dataengineeringpodcast.com/clickhouse-data-warehouse-episode-88/) dbt (https://www.getdbt.com/) Podcast Episode (https://www.dataengineeringpodcast.com/dbt-data-analytics-episode-81/) SQLMesh (https://sqlmesh.readthedocs.io/en/stable/) Podcast Episode (https://www.dataengineeringpodcast.com/sqlmesh-open-source-dataops-episode-380) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Summary Data lakehouse architectures have been gaining significant adoption. To accelerate adoption in the enterprise Microsoft has created the Fabric platform, based on their OneLake architecture. In this episode Dipti Borkar shares her experiences working on the product team at Fabric and explains the various use cases for the Fabric service. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Dipti Borkar about her work on Microsoft Fabric and performing analytics on data withou Interview Introduction How did you get involved in the area of data management? Can you describe what Microsoft Fabric is and the story behind it? Data lakes in various forms have been gaining significant popularity as a unified interface to an organization's analytics. What are the motivating factors that you see for that trend? Microsoft has been investing heavily in open source in recent years, and the Fabric platform relies on several open components. What are the benefits of layering on top of existing technologies rather than building a fully custom solution? What are the elements of Fabric that were engineered specifically for the service? What are the most interesting/complicated integration challenges? How has your prior experience with Ahana and Presto informed your current work at Microsoft? AI plays a substantial role in the product. What are the benefits of embedding Copilot into the data engine? What are the challenges in terms of safety and reliability? What are the most interesting, innovative, or unexpected ways that you have seen the Fabric platform used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on data lakes generally, and Fabric specifically? When is Fabric the wrong choice? What do you have planned for the future of data lake analytics? Contact Info LinkedIn (https://www.linkedin.com/in/diptiborkar/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com) with your story. Links Microsoft Fabric (https://www.microsoft.com/microsoft-fabric) Ahana episode (https://www.dataengineeringpodcast.com/ahana-presto-cloud-data-lake-episode-217) DB2 Distributed (https://www.ibm.com/docs/en/db2/11.5?topic=managers-designing-distributed-databases) Spark (https://spark.apache.org/) Presto (https://prestodb.io/) Azure Data (https://azure.microsoft.com/en-us/products#analytics) MAD Landscape (https://mattturck.com/mad2024/) Podcast Episode (https://www.dataengineeringpodcast.com/mad-landscape-2023-data-infrastructure-episode-369) ML Podcast Episode (https://www.themachinelearningpodcast.com/mad-landscape-2023-ml-ai-episode-21) Tableau (https://www.tableau.com/) dbt (https://www.getdbt.com/) Medallion Architecture (https://dataengineering.wiki/Concepts/Medallion+Architecture) Microsoft Onelake (https://learn.microsoft.com/fabric/onelake/onelake-overview) ORC (https://orc.apache.org/) Parquet (https://parquet.incubator.apache.org) Avro (https://avro.apache.org/) Delta Lake (https://delta.io/) Iceberg (https://iceberg.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/iceberg-with-ryan-blue-episode-52/) Hudi (https://hudi.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/hudi-streaming-data-lake-episode-209) Hadoop (https://hadoop.apache.org/) PowerBI (https://www.microsoft.com/power-platform/products/power-bi) Podcast Episode (https://www.dataengineeringpodcast.com/power-bi-business-intelligence-episode-154) Velox (https://velox-lib.io/) Gluten (https://gluten.apache.org/) Apache XTable (https://xtable.apache.org/) GraphQL (https://graphql.org/) Formula 1 (https://www.formula1.com/) McLaren (https://www.mclaren.com/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Send us a Text Message.Find out more details about this episode here:https://www.buzzsprout.com/1153229/episodes/15275011-how-to-brush-your-teeth-with-starburstSupport the 1 Star Recruits podcast by subscribing to our Patreon!  Receive all of our bonus content for only $4.99 per month.EPISODE SPONSORS:500 Level - Get 20% off all orders with the promo code DKANDRIPPro Financial InsuranceIN THIS EPISODE:Boston CelticsInside Out 2Follow 1 Star Recruits on:InstagramTwitterFacebookYoutubeTikTokPatreon

Summary Stripe is a company that relies on data to power their products and business. To support that functionality they have invested in Trino and Iceberg for their analytical workloads. In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face in supporting the myriad workloads that are thrown at this layer of their data platform. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Kevin Liu about his use of Trino and Iceberg for Stripe's data lakehouse Interview Introduction How did you get involved in the area of data management? Can you describe what role Trino and Iceberg play in Stripe's data architecture? What are the ways in which your job responsibilities intersect with Stripe's lakehouse infrastructure? What were the requirements and selection criteria that led to the selection of that combination of technologies? What are the other systems that feed into and rely on the Trino/Iceberg service? what kinds of questions are you answering with table metadata what use case/team does that support comparative utility of iceberg REST catalog What are the shortcomings of Trino and Iceberg? What are the most interesting, innovative, or unexpected ways that you have seen Iceberg/Trino used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Stripe's data infrastructure? When is a lakehouse on Trino/Iceberg the wrong choice? What do you have planned for the future of Trino and Iceberg at Stripe? Contact Info Substack (https://kevinjqliu.substack.com) LinkedIn (https://www.linkedin.com/in/kevinjqliu) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com) with your story. Links Trino (https://trino.io/) Iceberg (https://iceberg.apache.org/) Stripe (https://stripe.com/) Spark (https://spark.apache.org/) Redshift (https://aws.amazon.com/redshift/) Hive Metastore (https://cwiki.apache.org/confluence/display/hive/design#Design-Metastore) Python Iceberg (https://py.iceberg.apache.org/) Python Iceberg REST Catalog (https://github.com/kevinjqliu/iceberg-rest-catalog) Trino Metadata Table (https://trino.io/docs/current/connector/iceberg.html#metadata-tables) Flink (https://flink.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/apache-flink-with-fabian-hueske-episode-57) Tabular (https://tabular.io/) Podcast Episode (https://www.dataengineeringpodcast.com/tabular-iceberg-lakehouse-tables-episode-363) Delta Table (https://delta.io/) Podcast Episode (https://www.dataengineeringpodcast.com/delta-lake-data-lake-episode-85/) Databricks Unity Catalog (https://www.databricks.com/product/unity-catalog) Starburst (https://www.starburst.io/) AWS Athena (https://aws.amazon.com/athena/) Kevin Trinofest Presentation (https://trino.io/blog/2023/07/19/trino-fest-2023-stripe.html) Alluxio (https://www.alluxio.io/) Podcast Episode (https://www.dataengineeringpodcast.com/alluxio-distributed-storage-episode-70) Parquet (https://parquet.incubator.apache.org/) Hudi (https://hudi.apache.org/) Trino Project Tardigrade (https://trino.io/blog/2022/05/05/tardigrade-launch.html) Trino On Ice (https://www.starburst.io/blog/iceberg-table-partitioning/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Summary Streaming data processing enables new categories of data products and analytics. Unfortunately, reasoning about stream processing engines is complex and lacks sufficient tooling. To address this shortcoming Datorios created an observability platform for Flink that brings visibility to the internals of this popular stream processing system. In this episode Ronen Korman and Stav Elkayam discuss how the increased understanding provided by purpose built observability improves the usefulness of Flink. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. As someone who listens to the Data Engineering Podcast, you know that the road from tool selection to production readiness is anything but smooth or straight. In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. I listened to the recent episode "Transforming Your Database" and appreciated the valuable advice on how to approach the selection and integration of new databases in applications and the impact on team dynamics. There are 3 seasons of great episodes and new ones landing everywhere you listen to podcasts. Search for "Code Commentst" in your podcast player or go to dataengineeringpodcast.com/codecomments (https://www.dataengineeringpodcast.com/codecomments) today to subscribe. My thanks to the team at Code Comments for their support. Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Ronen Korman and Stav Elkayam about pulling back the curtain on your real-time data streams by bringing intuitive observability to Flink streams Interview Introduction How did you get involved in the area of data management? Can you describe what Datorios is and the story behind it? Data observability has been gaining adoption for a number of years now, with a large focus on data warehouses. What are some of the unique challenges posed by Flink? How much of the complexity is due to the nature of streaming data vs. the architectural realities of Flink? How has the lack of visibility into the flow of data in Flink impacted the ways that teams think about where/when/how to apply it? How have the requirements of generative AI shifted the demand for streaming data systems? What role does Flink play in the architecture of generative AI systems? Can you describe how Datorios is implemented? How has the design and goals of Datorios changed since you first started working on it? How much of the Datorios architecture and functionality is specific to Flink and how are you thinking about its potential application to other streaming platforms? Can you describe how Datorios is used in a day-to-day workflow for someone building streaming applications on Flink? What are the most interesting, innovative, or unexpected ways that you have seen Datorios used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Datorios? When is Datorios the wrong choice? What do you have planned for the future of Datorios? Contact Info Ronen LinkedIn (https://www.linkedin.com/in/ronen-korman/) Stav LinkedIn (https://www.linkedin.com/in/stav-elkayam-118a2795/?originalSubdomain=il) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com) with your story. Links Datorios (https://datorios.com/) Apache Flink (https://flink.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/apache-flink-with-fabian-hueske-episode-57) ChatGPT-4o (https://openai.com/index/hello-gpt-4o/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Summary Modern businesses aspire to be data driven, and technologists enjoy working through the challenge of building data systems to support that goal. Data governance is the binding force between these two parts of the organization. Nicola Askham found her way into data governance by accident, and stayed because of the benefit that she was able to provide by serving as a bridge between the technology and business. In this episode she shares the practical steps to implementing a data governance practice in your organization, and the pitfalls to avoid. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. This episode is supported by Code Comments, an original podcast from Red Hat. As someone who listens to the Data Engineering Podcast, you know that the road from tool selection to production readiness is anything but smooth or straight. In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. I listened to the recent episode "Transforming Your Database" and appreciated the valuable advice on how to approach the selection and integration of new databases in applications and the impact on team dynamics. There are 3 seasons of great episodes and new ones landing everywhere you listen to podcasts. Search for "Code Commentst" in your podcast player or go to dataengineeringpodcast.com/codecomments (https://www.dataengineeringpodcast.com/codecomments) today to subscribe. My thanks to the team at Code Comments for their support. Your host is Tobias Macey and today I'm interviewing Nicola Askham about the practical steps of building out a data governance practice in your organization Interview Introduction How did you get involved in the area of data management? Can you start by giving an overview of the scope and boundaries of data governance in an organization? At what point does a lack of an explicit governance policy become a liability? What are some of the misconceptions that you encounter about data governance? What impact has the evolution of data technologies had on the implementation of governance practices? (e.g. number/scale of systems, types of data, AI) Data governance can often become an exercise in boiling the ocean. What are the concrete first steps that will increase the success rate of a governance practice? Once a data governance project is underway, what are some of the common roadblocks that might derail progress? What are the net benefits to the data team and the organization when a data governance practice is established, active, and healthy? What are the most interesting, innovative, or unexpected ways that you have seen data governance applied? What are the most interesting, unexpected, or challenging lessons that you have learned while working on data governance/training/coaching? What are some of the pitfalls in data governance? What are some of the future trends in data governance that you are excited by? Are there any trends that concern you? Contact Info Website (https://www.nicolaaskham.com/) LinkedIn (https://www.linkedin.com/in/nicolaaskham/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. Links Website (https://www.nicolaaskham.com/) Master Data Management (https://en.wikipedia.org/wiki/Master_data_management) Cartesian Join (https://www.geeksforgeeks.org/cartesian-join/) DAMA == Data Management Community (https://www.dama.org/) DMBOK == Data Management Body of Knowledge (https://www.dama.org/cpages/body-of-knowledge) DAMA DMBOK Wheel (https://www.dama.org/cpages/dmbok-2-wheel-images) CDMP (Certified Data Management Professional) Exam (https://www.dama.org/cpages/cdmp-information) Data Mesh (https://www.datamesh-architecture.com/) Data Governance First Steps Checklist (https://www.nicolaaskham.com/free-data-governance-checklist) The Never Normal (https://www.linkedin.com/newsletters/the-never-normal-6862024032934477824/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Summary Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments. In this episode he shares some of the valuable lessons that he learned about how to make those projects successful. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. This episode is supported by Code Comments, an original podcast from Red Hat. As someone who listens to the Data Engineering Podcast, you know that the road from tool selection to production readiness is anything but smooth or straight. In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. I listened to the recent episode "Transforming Your Database" and appreciated the valuable advice on how to approach the selection and integration of new databases in applications and the impact on team dynamics. There are 3 seasons of great episodes and new ones landing everywhere you listen to podcasts. Search for "Code Commentst" in your podcast player or go to dataengineeringpodcast.com/codecomments (https://www.dataengineeringpodcast.com/codecomments) today to subscribe. My thanks to the team at Code Comments for their support. Your host is Tobias Macey and today I'm interviewing Sriram Panyam about his experiences conducting large scale data migrations and the useful strategies that he learned in the process Interview Introduction How did you get involved in the area of data management? Can you start by sharing some of your experiences with data migration projects? As you have gone through successive migration projects, how has that influenced the ways that you think about architecting data systems? How would you categorize the different types and motivations of migrations? How does the motivation for a migration influence the ways that you plan for and execute that work? Can you talk us through one or two specific projects that you have taken part in? Part 1: The Triggers Section 1: Technical Limitations triggering Data Migration Scaling bottlenecks: Performance issues with databases, storage, or network infrastructure Legacy compatibility: Difficulties integrating with modern tools and cloud platforms System upgrades: The need to migrate data during major software changes (e.g., SQL Server version upgrade) Section 2: Types of Migrations for Infrastructure Focus Storage migration: Moving data between systems (HDD to SSD, SAN to NAS, etc.) Data center migration: Physical relocation or consolidation of data centers Virtualization migration: Moving from physical servers to virtual machines (or vice versa) Section 3: Technical Decisions Driving Data Migrations End-of-life support: Forced migration when older software or hardware is sunsetted Security and compliance: Adopting new platforms with better security postures Cost Optimization: Potential savings of cloud vs. on-premise data centers Part 2: Challenges (and Anxieties) Section 1: Technical Challenges Data transformation challenges: Schema changes, complex data mappings Network bandwidth and latency: Transferring large datasets efficiently Performance testing and load balancing: Ensuring new systems can handle the workload Live data consistency: Maintaining data integrity while updates occur in the source system Minimizing Lag: Techniques to reduce delays in replicating changes to the new system Change data capture: Identifying and tracking changes to the source system during migration Section 2: Operational Challenges Minimizing downtime: Strategies for service continuity during migration Change management and rollback plans: Dealing with unexpected issues Technical skills and resources: In-house expertise/data teams/external help Section 3: Security & Compliance Challenges Data encryption and protection: Methods for both in-transit and at-rest data Meeting audit requirements: Documenting data lineage & the chain of custody Managing access controls: Adjusting identity and role-based access to the new systems Part 3: Patterns Section 1: Infrastructure Migration Strategies Lift and shift: Migrating as-is vs. modernization and re-architecting during the move Phased vs. big bang approaches: Tradeoffs in risk vs. disruption Tools and automation: Using specialized software to streamline the process Dual writes: Managing updates to both old and new systems for a time Change data capture (CDC) methods: Log-based vs. trigger-based approaches for tracking changes Data validation & reconciliation: Ensuring consistency between source and target Section 2: Maintaining Performance and Reliability Disaster recovery planning: Failover mechanisms for the new environment Monitoring and alerting: Proactively identifying and addressing issues Capacity planning and forecasting growth to scale the new infrastructure Section 3: Data Consistency and Replication Replication tools - strategies and specialized tooling Data synchronization techniques, eg Pros and cons of different methods (incremental vs. full) Testing/Verification Strategies for validating data correctness in a live environment Implication of large scale systems/environments Comparison of interesting strategies: DBLog, Debezium, Databus, Goldengate etc What are the most interesting, innovative, or unexpected approaches to data migrations that you have seen or participated in? What are the most interesting, unexpected, or challenging lessons that you have learned while working on data migrations? When is a migration the wrong choice? What are the characteristics or features of data technologies and the overall ecosystem that can reduce the burden of data migration in the future? Contact Info LinkedIn (https://www.linkedin.com/in/srirampanyam/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. Links DagKnows (https://dagknows.com) Google Cloud Dataflow (https://cloud.google.com/dataflow) Seinfeld Risk Management (https://www.youtube.com/watch) ACL == Access Control List (https://en.wikipedia.org/wiki/Access-control_list) LinkedIn Databus - Change Data Capture (https://github.com/linkedin/databus) Espresso Storage (https://engineering.linkedin.com/data-replication/open-sourcing-databus-linkedins-low-latency-change-data-capture-system) HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html) Kafka (https://kafka.apache.org/) Postgres Replication Slots (https://www.postgresql.org/docs/current/logical-replication.html) Queueing Theory (https://en.wikipedia.org/wiki/Queueing_theory) Apache Beam (https://beam.apache.org/) Debezium (https://debezium.io/) Airbyte (https://airbyte.com/) Fivetran (fivetran.com) Designing Data Intensive Applications (https://amzn.to/4aAztR1) by Martin Kleppman (https://martin.kleppmann.com/) (affiliate link) Vector Databases (https://en.wikipedia.org/wiki/Vector_database) Pinecone (https://www.pinecone.io/) Weaviate (https://www.weveate.io/) LAMP Stack (https://en.wikipedia.org/wiki/LAMP_(software_bundle)) Netflix DBLog (https://arxiv.org/abs/2010.12597) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Summary The purpose of business intelligence systems is to allow anyone in the business to access and decode data to help them make informed decisions. Unfortunately this often turns into an exercise in frustration for everyone involved due to complex workflows and hard-to-understand dashboards. The team at Zenlytic have leaned on the promise of large language models to build an AI agent that lets you converse with your data. In this episode they share their journey through the fast-moving landscape of generative AI and unpack the difference between an AI chatbot and an AI agent. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. As someone who listens to the Data Engineering Podcast, you know that the road from tool selection to production readiness is anything but smooth or straight. In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. I listened to the recent episode "Transforming Your Database" and appreciated the valuable advice on how to approach the selection and integration of new databases in applications and the impact on team dynamics. There are 3 seasons of great episodes and new ones landing everywhere you listen to podcasts. Search for "Code Commentst" in your podcast player or go to dataengineeringpodcast.com/codecomments (https://www.dataengineeringpodcast.com/codecomments) today to subscribe. My thanks to the team at Code Comments for their support. Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Ryan Janssen and Paul Blankley about their experiences building AI powered agents for interacting with your data Interview Introduction How did you get involved in data? In AI? Can you describe what Zenlytic is and the role that AI is playing in your platform? What have been the key stages in your AI journey? What are some of the dead ends that you ran into along the path to where you are today? What are some of the persistent challenges that you are facing? So tell us more about data agents. Firstly, what are data agents and why do you think they're important? How are data agents different from chatbots? Are data agents harder to build? How do you make them work in production? What other technical architectures have you had to develop to support the use of AI in Zenlytic? How have you approached the work of customer education as you introduce this functionality? What are some of the most interesting or erroneous misconceptions that you have heard about what the AI can and can't do? How have you balanced accuracy/trustworthiness with user experience and flexibility in the conversational AI, given the potential for these models to create erroneous responses? What are the most interesting, innovative, or unexpected ways that you have seen your AI agent used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on building an AI agent for business intelligence? When is an AI agent the wrong choice? What do you have planned for the future of AI in the Zenlytic product? Contact Info Ryan LinkedIn (https://www.linkedin.com/in/janssenryan) Paul LinkedIn (https://www.linkedin.com/in/paulblankley/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. Links Zenlytic (https://www.zenlytic.com/) Podcast Episode (https://www.dataengineeringpodcast.com/zenlytic-self-serve-business-intelligence-episode-371) Attention is all you need (https://arxiv.org/abs/1706.03762) Transformers (https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture)) BERT (https://en.wikipedia.org/wiki/BERT_(language_model)) The Bitter Lesson (http://www.incompleteideas.net/IncIdeas/BitterLesson.html) Richard Sutton PID Loops (https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%E2%80%93derivative_controller) AutoGPT (https://github.com/Significant-Gravitas/AutoGPT) Devin.ai (https://www.cognition.ai/introducing-devin) Google Gemini (https://gemini.google.com/) Anthropic Claude (https://www.anthropic.com/claude) OpenAI Code Interpreter (https://platform.openai.com/docs/assistants/tools/code-interpreter) Edward Tufte (https://www.edwardtufte.com/tufte/books_vdqi) Looker ActionHub (https://developers.looker.com/actions/overview/) OAuth (https://oauth.net/2/) GitHub Copilot (https://github.com/features/copilot) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Summary Building a data platform is a substrantial engineering endeavor. Once it is running, the next challenge is figuring out how to address release management for all of the different component parts. The services and systems need to be kept up to date, but so does the code that controls their behavior. In this episode your host Tobias Macey reflects on his current challenges in this area and some of the factors that contribute to the complexity of the problem. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. As someone who listens to the Data Engineering Podcast, you know that the road from tool selection to production readiness is anything but smooth or straight. In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. I listened to the recent episode "Transforming Your Database" and appreciated the valuable advice on how to approach the selection and integration of new databases in applications and the impact on team dynamics. There are 3 seasons of great episodes and new ones landing everywhere you listen to podcasts. Search for "Code Commentst" in your podcast player or go to dataengineeringpodcast.com/codecomments (https://www.dataengineeringpodcast.com/codecomments) today to subscribe. My thanks to the team at Code Comments for their support. Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake. Trusted by teams of all sizes, including Comcast and Doordash. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I want to talk about my experiences managing the QA and release management process of my data platform Interview Introduction As a team, our overall goal is to ensure that the production environment for our data platform is highly stable and reliable. This is the foundational element of establishing and maintaining trust with the consumers of our data. In order to support this effort, we need to ensure that only changes that have been tested and verified are promoted to production. Our current challenge is one that plagues all data teams. We want to have an environment that mirrors our production environment that is available for testing, but it's not feasible to maintain a complete duplicate of all of the production data. Compounding that challenge is the fact that each of the components of our data platform interact with data in slightly different ways and need different processes for ensuring that changes are being promoted safely. Contact Info LinkedIn () Website (https://www.dataengineeringpodcast.com) Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com) with your story. Links Data Platforms and Leaky Abstractions Episode (https://www.dataengineeringpodcast.com/abstractions-and-technical-debt-episode-374) Building A Data Platform From Scratch (https://www.dataengineeringpodcast.com/designing-a-lakehouse-from-scratch-episode-354) Airbyte (https://airbyte.com/) Podcast Episode (https://www.dataengineeringpodcast.com/airbyte-open-source-data-integration-episode-173/) Trino (https://trino.io/) dbt (https://www.getdbt.com/) Starburst Galaxy (https://www.starburst.io/platform/starburst-galaxy/) Superset (https://superset.apache.org/) Dagster (https://dagster.io/) LakeFS (https://lakefs.io/) Podcast Episode (https://www.dataengineeringpodcast.com/lakefs-data-lake-versioning-episode-157) Nessie (https://projectnessie.org/) Podcast Episode (https://www.dataengineeringpodcast.com/nessie-data-lakehouse-data-versioning-episode-416) Iceberg (https://iceberg.apache.org/) Snowflake (https://www.snowflake.com/en/) LocalStack (https://www.localstack.cloud/) DSL == Domain Specific Language (https://en.wikipedia.org/wiki/Domain-specific_language) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

Summary Artificial intelligence has dominated the headlines for several months due to the successes of large language models. This has prompted numerous debates about the possibility of, and timeline for, artificial general intelligence (AGI). Peter Voss has dedicated decades of his life to the pursuit of truly intelligent software through the approach of cognitive AI. In this episode he explains his approach to building AI in a more human-like fashion and the emphasis on learning rather than statistical prediction. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. Your team can get up and running in minutes thanks to Dagster Cloud, an enterprise-class hosted solution that offers serverless and hybrid deployments, enhanced security, and on-demand ephemeral test deployments. Go to dataengineeringpodcast.com/dagster (https://www.dataengineeringpodcast.com/dagster) today to get started. Your first 30 days are free! Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Peter Voss about what is involved in making your AI applications more "human" Interview Introduction How did you get involved in machine learning? Can you start by unpacking the idea of "human-like" AI? How does that contrast with the conception of "AGI"? The applications and limitations of GPT/LLM models have been dominating the popular conversation around AI. How do you see that impacting the overrall ecosystem of ML/AI applications and investment? The fundamental/foundational challenge of every AI use case is sourcing appropriate data. What are the strategies that you have found useful to acquire, evaluate, and prepare data at an appropriate scale to build high quality models? What are the opportunities and limitations of causal modeling techniques for generalized AI models? As AI systems gain more sophistication there is a challenge with establishing and maintaining trust. What are the risks involved in deploying more human-level AI systems and monitoring their reliability? What are the practical/architectural methods necessary to build more cognitive AI systems? How would you characterize the ecosystem of tools/frameworks available for creating, evolving, and maintaining these applications? What are the most interesting, innovative, or unexpected ways that you have seen cognitive AI applied? What are the most interesting, unexpected, or challenging lessons that you have learned while working on desiging/developing cognitive AI systems? When is cognitive AI the wrong choice? What do you have planned for the future of cognitive AI applications at Aigo? Contact Info LinkedIn (https://www.linkedin.com/in/vosspeter/) Website (http://optimal.org/voss.html) Parting Question From your perspective, what is the biggest barrier to adoption of machine learning today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. Links Aigo.ai (https://aigo.ai/) Artificial General Intelligence (https://aigo.ai/what-is-real-agi/) Cognitive AI (https://aigo.ai/cognitive-ai/) Knowledge Graph (https://en.wikipedia.org/wiki/Knowledge_graph) Causal Modeling (https://en.wikipedia.org/wiki/Causal_model) Bayesian Statistics (https://en.wikipedia.org/wiki/Bayesian_statistics) Thinking Fast & Slow (https://amzn.to/3UJKsmK) by Daniel Kahneman (affiliate link) Agent-Based Modeling (https://en.wikipedia.org/wiki/Agent-based_model) Reinforcement Learning (https://en.wikipedia.org/wiki/Reinforcement_learning) DARPA 3 Waves of AI (https://www.darpa.mil/about-us/darpa-perspective-on-ai) presentation Why Don't We Have AGI Yet? (https://arxiv.org/abs/2308.03598) whitepaper Concepts Is All You Need (https://arxiv.org/abs/2309.01622) Whitepaper Hellen Keller (https://en.wikipedia.org/wiki/Helen_Keller) Stephen Hawking (https://en.wikipedia.org/wiki/Stephen_Hawking) The intro and outro music is from Hitman's Lovesong feat. Paola Graziano (https://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Hitmans_Lovesong/) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/)/CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0/)

Summary Generative AI promises to accelerate the productivity of human collaborators. Currently the primary way of working with these tools is through a conversational prompt, which is often cumbersome and unwieldy. In order to simplify the integration of AI capabilities into developer workflows Tsavo Knott helped create Pieces, a powerful collection of tools that complements the tools that developers already use. In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. Your team can get up and running in minutes thanks to Dagster Cloud, an enterprise-class hosted solution that offers serverless and hybrid deployments, enhanced security, and on-demand ephemeral test deployments. Go to dataengineeringpodcast.com/dagster (https://www.dataengineeringpodcast.com/dagster) today to get started. Your first 30 days are free! Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst (https://www.dataengineeringpodcast.com/starburst) and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Your host is Tobias Macey and today I'm interviewing Tsavo Knott about Pieces, a personal AI toolkit to improve the efficiency of developers Interview Introduction How did you get involved in machine learning? Can you describe what Pieces is and the story behind it? The past few months have seen an endless series of personalized AI tools launched. What are the features and focus of Pieces that might encourage someone to use it over the alternatives? model selections architecture of Pieces application local vs. hybrid vs. online models model update/delivery process data preparation/serving for models in context of Pieces app application of AI to developer workflows types of workflows that people are building with pieces What are the most interesting, innovative, or unexpected ways that you have seen Pieces used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Pieces? When is Pieces the wrong choice? What do you have planned for the future of Pieces? Contact Info LinkedIn (https://www.linkedin.com/in/tsavoknott/) Parting Question From your perspective, what is the biggest barrier to adoption of machine learning today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. Links Pieces (https://pieces.app/) NPU == Neural Processing Unit (https://en.wikipedia.org/wiki/AI_accelerator) Tensor Chip (https://en.wikipedia.org/wiki/Google_Tensor) LoRA == Low Rank Adaptation (https://github.com/microsoft/LoRA) Generative Adversarial Networks (https://en.wikipedia.org/wiki/Generative_adversarial_network) Mistral (https://mistral.ai/) Emacs (https://www.gnu.org/software/emacs/) Vim (https://www.vim.org/) NeoVim (https://neovim.io/) Dart (https://dart.dev/) Flutter (https://flutter.dev/) Typescript (https://www.typescriptlang.org/) Lua (https://www.lua.org/) Retrieval Augmented Generation (https://github.blog/2024-04-04-what-is-retrieval-augmented-generation-and-what-does-it-do-for-generative-ai/) ONNX (https://onnx.ai/) LSTM == Long Short-Term Memory (https://en.wikipedia.org/wiki/Long_short-term_memory) LLama 2 (https://llama.meta.com/llama2/) GitHub Copilot (https://github.com/features/copilot) Tabnine (https://www.tabnine.com/) Podcast Episode (https://www.themachinelearningpodcast.com/tabnine-generative-ai-developer-assistant-episode-24) The intro and outro music is from Hitman's Lovesong feat. Paola Graziano (https://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Hitmans_Lovesong/) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/)/CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0/)

Author : David Marino Narrator : Ibba Armancas Host : Mur Lafferty Audio Producer : Summer Brooks Escape Pod 925: The Ballad of Starburst Smith is an Escape Pod original. Contains harsh language. The Ballad of Starburst Smith by David Marino “Did you read the terms and conditions?” “Fuck you, I read the terms and […] Source