Podcast appearances and mentions of chris bergh

Join Shane Gibson as he chats with Chris Bergh on improving your teams way of working by using DataOps patterns. You can get in touch with Chris via LinkedIn or over at https://datakitchen.io If you want to read the transcript for the podcast head over to: https://agiledata.io/podcast/agiledata-podcast/dataops-patterns-with-chris-bergh/#read   Listen to more podcasts on applying AgileData patterns over at https://agiledata.io/podcasts/ Read more on the AgileData Way of Working over at https://wow.agiledata.io/   If you want to join us on the next podcast, get in touch over at https://agiledata.io/podcasts/#contact   Or if you just want to talk about making magic happen with agile and data you can connect with Shane @shagility on LinkedIn.   Subscribe: Apple Podcast | Spotify | Google Podcast  | Amazon Audible | TuneIn | iHeartRadio | PlayerFM | Listen Notes | Podchaser |  Deezer | Podcast Addict |    Simply Magical Data

DataOps, the promising future that nobody seems to be able to make reality. But not for lack of trying: meet Chris Bergh, "Head Chef" at DataKitchen, joining us again to tell us how te filed evolved over the last few years. To get in touch with Chris, pay a visit to DataKitchen.io! And find all the Open Source Tools we discussed on the DataKitchen GitHub pages. Please use the Contact Form on this blog or our twitter feed to send us your questions, or to suggest future episode topics you would like us to cover.

DataOps, the promising future that nobody seems to be able to make reality. But not for lack of trying: meet Chris Bergh, "Head Chef" at DataKitchen, joining us again to tell us how te filed evolved over the last few years. To get in touch with Chris, make a visit to DataKitchen.io! Please use the Contact Form on this blog or our twitter feed to send us your questions, or to suggest future episode topics you would like us to cover.

Chris Bergh joins me to chat about all things DataOps. We also discuss lean, removing waste from data processes and teams, and much more. DataKitchen: https://datakitchen.io/ DataOps Manifesto: https://dataopsmanifesto.org/en/

Join me as I speak with CEO & Head Chef of DataKitchen, Chris Bergh as we discuss their DataOps Platform and how it simplifies complex data toolchains, environments & teams.

When an issue arises, most people are quick to look at people or technology as the source. But how often is the system looked at? When working with data, having a system that doesn't empower its employees can be the biggest detriment. If a team has a ceiling, there's only so much that can be accomplished. In this episode, Chris Bergh, CEO and "Head Chef" at DataKitchen, explains the data assembly line, its multitude of benefits, and why talking to your customers is the quickest, albeit uncommon, way to solve customer problems. We discuss: Marrying an assembly line, being a chef, & data operations together Focusing on more than just customers as the end person Selling an assembly line approach w/ fast results & low errors Debunking data myths & steps for the future Resource mentioned during the podcast: The DataOps Cookbook Join the In:Confidence Community. You can find this interview, and many more, by subscribing to In:Confidence podcast on Apple Podcasts or here. Listening on a desktop & can't see the links? Just search for In:Confidence in your favorite podcast player.

This is an interview Heini and Alexander did with Chris Bergh, one of the founders of Data Kitchen. Enjoy 45 minutes of devops, data ops and thoughts on analytics! See acast.com/privacy for privacy and opt-out information.

24 Stunden Nerdtalk, Gossip, Education, Madness – direkt aus dem Pionierpalast in eure Radios. * Gesprächsrunde: Kurt Dahlke (Pyrolator) * Gesprächsrunde: Albert & Gerrit, Retrokits * Gesprächsrunde: Gur Milstein & Piero Fragola (Tiptop Audio) * Gesprächsrunde: Chris Berghäuser (Landesmusikakademie Berlin) * Gesprächsrunde: Jan Hennig (Kabuki) * Gesprächsrunde: Danielle de Piciotto & Alexander Hacke (hackedepicciotto) Interview führten meist CILE, Frank, Jero, Niki & Thomas # SooperRadio 2021 LIVE von der Superbooth 2021 aus unserem mobilen Studio. Beiträge und Interviews mit Ausstellern und Künstlerinnen den ganze Radiotag im Zeichen der Supermesse. Es wird Mitschnitte der Konzerte u.a. von der Seebühne geben – wir wollen mit den Instrumentenbauern, Händlerinnen, Endverbrauchern, Veranstalterinnen, interessierten Laien und professionellen Musikerinnen ins Gespräch kommen. Wir schätzen den partizipativen Ansatz der Macherinnen und freuen uns auf das musikalisch reichhaltige Programm. Und immer dran denken: Alle zehn Minuten verliebt sich ein Mensch in Modulare Systeme (A. Schneider)…

24 Stunden Nerdtalk, Gossip, Education, Madness – direkt aus dem Pionierpalast in eure Radios. * Gesprächsrunde: Albert & Gerrit, Retrokits * Gesprächsrunde: Gur Milstein & Piero Fragola (Tiptop Audio) * Gesprächsrunde: Chris Berghäuser (Landesmusikakademie Berlin) * Gesprächsrunde: Jan Hennig (Kabuki) Interview führten meist CILE, Frank, Jero, Niki & Thomas ## SooperRadio 2021 LIVE von der Superbooth 2021 aus unserem mobilen Studio. Beiträge und Interviews mit Ausstellern und Künstlerinnen den ganze Radiotag im Zeichen der Supermesse. Es wird Mitschnitte der Konzerte u.a. von der Seebühne geben – wir wollen mit den Instrumentenbauern, Händlerinnen, Endverbrauchern, Veranstalterinnen, interessierten Laien und professionellen Musikerinnen ins Gespräch kommen. Wir schätzen den partizipativen Ansatz der Macherinnen und freuen uns auf das musikalisch reichhaltige Programm. Und immer dran denken: Alle zehn Minuten verliebt sich ein Mensch in Modulare Systeme (A. Schneider)…

Chris Bergh, CEO & Head Chef of DataKitchen, joins BigIDeas on the Go to talk about the growing importance and influence of dataops and its intersection with data governance.

Accelerating the delivery of data applications is at the top of the to-do list for many enterprises. That requires overcoming friction in your data architecture, managing complex requirements, and handling a variety of semantics challenges. Join Tim, Juan, and Chris Bergh from Data Kitchen for a conversation about DataOps. The trio will look at how this emerging data management methodology can improve the flow of knowledge within data teams. Other topics include: How to create the right DataOps culture Measuring the value of your DataOps strategy Worst reason you’ve been called into work on your day off

On this week's episode of the Data Standard Audio Experience, we talk with Chris Bergh, the CEO and head chef at Data Kitchen. DataKitchen's mission is to provide the software, service, and knowledge that makes it possible for every data and analytics team to realize their full potential with DataOps.Highlights from this week's episode include:Chris' background and how the lessons learned in the Peace Corps and at NASA apply to him todayWhy AI left Chris feeling like a jilted loverMost projects that people do in data analytics failThree things that DataOps focuses onComparing and contrasting DevOps and DataOpsThe types of data that DataKitchen handles and building a product or a service around DataOpsFixing problems at the source instead of just offering a tool to slightly improve things downstreamWhere we are at in the process of how companies are going to run on dataChris Berghhttps://www.linkedin.com/in/chrisbergh/The Data Standardhttps://datastandard.io/https://www.linkedin.com/company/the-data-standard/

On this week's episode of The Data Stack Show, Eric and Kostas talk with Chris Bergh, the CEO and head chef at Data Kitchen. DataKitchen's mission is to provide the software, service, and knowledge that makes it possible for every data and analytics team to realize their full potential with DataOps.Highlights from this week's episode include: Chris' background and how the lessons learned in the Peace Corps and at NASA apply to him today (2:03)Why AI left Chris feeling like a jilted lover (7:49)Most projects that people do in data analytics fail (10:12)Three things that DataOps focuses on (16:37)Comparing and contrasting DevOps and DataOps (22:30)The types of data that DataKitchen handles and building a product or a service around DataOps (29:29)Fixing problems at the source instead of just offering a tool to slightly improve things downstream (37:17)Where we are at in the process of how companies are going to run on data (41:43)The Data Stack Show is a weekly podcast powered by RudderStack. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

In today’s episode, we will speak with Chris Bergh, a pioneer in the DataOps landscape and the CEO at DataKitchen, a DataOps Platform that Simplifies Complex Data Toolchains and Environments Top 3 Value Bombs:DataOps is not just DevOps for dataAny organization can get started today and start implementing DataOps practices. Start small and prioritize quick wins. The people/process is just as important as the tools used if not more so when implementing DataOps. If you enjoy this episode and want to learn more, please head on over to DataKitchen.io to download your free copy of the DataOps Cookbook. 

For episode 33 we get into the kitchen, in this case the Data Kitchen, with Head Chef & Founder Chris Bergh. During our conversation we explore Chris' career & passion for DataOps (so this episode is a great companion to episode 1). We talk about the leadership skills needed to lead DataOps functions & lessons to be gleaned from Manufacturing. Chris has published a couple of very accessible books on DataOps, so we chat about those & compare them to 'Practical DataOps' which I reviewed with Harvinder in episode 1. We also explore how DataOps teams can measure their success & the skills that analysts should develop in order to succeed in a career with DataOps. I hope you find that a tasty sounding recipe (just like Rob provided in episode 29) & tuck in for a listen. Enjoy & let me know what helps you.

Episode 7, Season 1Data ops has emerged as a way for organizations to better manage their data pipelines. You’ll hear more about this concept from Chris Bergh, head chef, founder and CEO of DataKitchen, a software company that aims to help data professionals regain control of their data pipelines. He’ll talk about how his experiences in the software industry lead him down the data ops path, define what data ops is and why companies should give data ops a try.

Data is a critical element to every role in an organization, which is also what makes managing it so challenging. With so many different opinions about which pieces of information are most important, how it needs to be accessed, and what to do with it, many data projects are doomed to failure. In this episode Chris Bergh explains how taking an agile approach to delivering value can drive down the complexity that grows out of the varied needs of the business. Building a DataOps workflow that incorporates fast delivery of well defined projects, continuous testing, and open lines of communication is a proven path to success.

DataKitchen.io's Chris Bergh takes us down the path towards successful DataOps implementation. If you have not heard of the DataOps concept yet and data is a big part of your environment (and really, it should be) we're sure you will find more than a couple takeaways here!   Christopher Bergh (@ChrisBergh) CEO & Head Chef, DataKitchen       The DataOps Cookbook DataOps is NOT Just DevOps for Data Please use the Contact Form on this blog or our twitter feed to send us your questions, or to suggest future episode topics you would like us to cover.

DataKitchen.io's Chris Bergh takes us down the path towards successful DataOps implementation. If you have not heard of the DataOps concept yet and data is a big part of your environment (and really, it should be) we're sure you will find more than a couple takeaways here!   Christopher Bergh (@ChrisBergh) CEO & Head Chef, DataKitchen     The DataOps Cookbook DataOps is NOT Just DevOps for Data Please use the Contact Form on this blog or our twitter feed to send us your questions, or to suggest future episode topics you would like us to cover.

Delivering a data analytics project on time and with accurate information is critical to the success of any business. DataOps is a set of practices to increase the probability of success by creating value early and often, and using feedback loops to keep your project on course. In this episode Chris Bergh, head chef of Data Kitchen, explains how DataOps differs from DevOps, how the industry has begun adopting DataOps, and how to adopt an agile approach to building your data platform.

If you’re building a data product, these questions are likely occupying your mind: how do you get your customers to trust your data? How do you know your product’s something your customers will want? How do you produce those products more quickly without compromising accuracy? Today we talk with someone who has a lot of experience answering these questions. Ginette: If you’re building a data product, these questions are likely occupying your mind: how do you get your customers to trust your data? How do you know your product’s something your customers will want? How do you produce those products more quickly without compromising accuracy? Today we talk with someone who has a lot of experience answering these questions. Ginette: I’m Ginette. Curtis: And I’m Curtis. Ginette: And you are listening to Data Crunch. Curtis: A podcast about how data and prediction shape our world. Ginette: A Vault Analytics production. Curtis: If you’re a company aiming to research emerging technologies, like AI, ML, IoT, or edge computing, and you find your company lacking expertise, we know where you can the expertise to pad your research team: this team is a group of ex-fortune 500, b2b tech product managers with in-depth market analysis, product planning, and development expertise in bringing successful products, software, and services to the market, and they have significant in-depth technology skills on their team. They drive emerging tech research, product strategy, and tech marketing that resonates with customers, and they’re good at it. If a service like this would be helpful to you for a proposal you’re writing or a for a product that you’re creating, reach out to us at hello@vaultanalytics.com, and we’ll be in touch. Ginette: Now let’s jump into today’s episode. We’re talking with someone who’s worked with data teams for many years and has learned a thing or two. This is Chris Bergh. Chris: I’m Chris Bergh. I'm head chef of a company called Data Kitchen in Cambridge, Massachusetts, and we're a company that helps teams of people who do AI or machine learning or data engineering or data visualization deliver insight faster with higher-quality, and so how did I, how did I get to this point to found a company to focus on what we called dataops? Well, I guess I'm a working class kid from Wisconsin. I went to, in the late 80s actually, I went to Columbia to study AI back when AI was just a corner of the world that people, no one knew what it was, and you didn't walk through an airport and run into it, and then I worked on some AI systems at NASA and MIT to automate air traffic control, and then I sort of got into software development and managing software teams. Curtis: To fill out this picture a little more, Chris has two patents under his belt and has had two companies acquired, one by Microsoft, while he was building the company in the C-suite. So he’s no stranger to the difficult experiences that come with companies’ growing pains.   Chris: About 10 years ago I got into data and analytics, and the company I worked for was about a 60 person company. We did everything that you could do in analytics, and we did data visualization. We had data scientists. We had data engineers. We even decided to build our own complete software platform that did everything in analytics, and I was the chief operating officer, and I worked with a guy who was from Harvard Medical School, really knew, it was a healthcare analytics company, really knew health care and really could talk to customers and figure out what they wanted, but then he'd come back to me and say, “Chris, here I've got this idea. Customer has this pain. Could you get some people together and figure out how to solve it, so I would go off and pull the data scientist and maybe data engineer and maybe someone who knew Tableau and maybe a software engineer in a room, and we’d talked it through. And I’d, I’d, you know,

Managing an analytics project can be difficult due to the number of systems involved and the need to ensure that new information can be delivered quickly and reliably. That challenge can be met by adopting practices and principles from lean manufacturing and agile software development, and the cross-functional collaboration, feedback loops, and focus on automation in the DevOps movement. In this episode Christopher Bergh discusses ways that you can start adding reliability and speed to your workflow to deliver results with confidence and consistency.

Our conversation with Chris Bergh, founder of DataKitchen and a thought leader on commercial analytics, talks about the need to adopt an agile approach to analytics and the application of Lean Thinking to deliver relevant insights faster.