Podcasts about data platform

Explore our Business Central on-demand training courses at https://www.learndynamics.com/    Microsoft Fabric is transforming how businesses handle data in Dynamics 365 Business Central. By offering an end-to-end solution for data analytics, Fabric simplifies complex processes and opens the door to real-time insights   In this episode, Belinda Allen, Director of Enablement at iLink Digital and a Microsoft Certified Trainer, shares insights into the key benefits of integrating Fabric with Business Central.    Learn how Fabric enhances data management, separates compute from storage, and streamlines data modeling with tools like Azure Data Factory and Power BI. As Belinda Allen explains, “Fabric consolidates tools and eliminates the need to move data around, making workflows far more efficient.”    Explore how Fabric is reshaping data management and analytics in Business Central.    Listen now and see how to bring simplicity and power to your data workflows!

S1 Ep#34: The Future of Data Mesh The Data Product Management In Action podcast, brought to you by executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences.  In Season 01, Episode 34, Join host Michael Toland as he welcomes Tom DeWolf, a data mesh expert with a PhD in distributed systems and years of experience in software engineering. Tom shares insights from his four-year journey in data mesh, emphasizing the need for self-service in data products, the benefits of an evolutionary architecture, and the challenges of governance in multi-organization environments. He also discusses key lessons from past failures, highlighting the critical role of user engagement in building successful data ecosystems. Don't miss this deep dive into the future of data management! About our Host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. He has worked in product officially since 2016, where he worked at Verizon on large scale system modernizations and migration initiatives for reference data and decision platforms. Outside of his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors fellows with Venture for America, sings in the Columbus Symphony, writing satire posts for his blog Dignified Product or Test Double, depending on the topic, and is excited to be chatting with folks on Data Product Management. Connect with Michael on LinkedIn. About our guest Tom DeWolf: Tom is an experienced hands-on architect and serves as the innovation lead, spearheading new innovative initiatives for ACA Group. His expertise lies in data mesh platform and platform engineering, leveraging his background in software engineering and experience in designing various architectures, including software, microservices, data platforms, evolutionary architectures, among others. Tom is the founder and host of Data Mesh Belgium meetup and the new Data Mesh Live conference, and active Data Mesh community thought leader. Connect with Tom on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!         

The Data Product Management In Action podcast, brought to you by executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In this episode, host Frannie Helforoush talks with our host Nick Zervoudis, Head of Product at CKDelta and founder of Value from Data and AI, about his new course designed to help data teams deliver maximum impact. Nick discusses the growing importance of being value-focused amidst economic challenges like inflation and layoffs. Tailored for data product managers and consultants, the cohort-based course emphasizes opportunity discovery, valuation, and aligning data initiatives with business profitability. Hosted on Maven, the interactive format fosters peer learning. Check out Nick's course on Maven and tune in to learn how to ensure your data and AI efforts deliver tangible results. About our host Frannie Helforoush: Frannie's journey began as a software engineer and evolved into a strategic product manager. Now, as a data product manager, she leverages her expertise in both fields to create impactful solutions. Frannie thrives on making data accessible and actionable, driving product innovation, and ensuring product thinking is integral to data management. Connect with Frannie on LinkedIn. Meet our Guest Nick Zervoudis: Nick is Head of Product at CKDelta, an AI software business within the CKHutchison Holdings group. Nick oversees a portfolio of data products and works with sister companies to uncover new opportunities to innovate using data,analytics, and machine learning.Nick's career has revolved around data and advanced analytics from day one,having worked as an analyst, consultant, product manager, and instructor for startups, SMEs, and enterprises including PepsiCo, Sainsbury's, Lloyds BankingGroup, IKEA, Capgemini Invent, BrainStation, QuantSpark, and Hg Capital. Nick is also the co-host ofLondon's Data Product Management meetup, and speaks and writes regularly about data & AI product management. Connect with Nick on LinkedIn. Core offerings delivered by Value from Data & AI: Data product management training Fractional Data Product Manager Data startup advisory 1:1 coaching One-off data and AI discovery projects Data monetization advisory All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights! 

Bright Data are expanding their suite of specialized data scrapers once again, this time offering a dynamic Pinterest scraper API. Get the system today at https://get.brightdata.com/skyagwebscraper_pinterest Bright Data City: New York Address: 500 7th Ave, 9th Floor Office 9A1234 Website: https://bit.ly/3dd7ti2

Most early-stage founders I talk to are focused on getting their first customers, hiring their first employees, or maybe, if they're lucky, closing their first round of funding. But what happens after that? For Rohit Choudhary, the answer was building a whole new category. Rohit is the CEO and co-founder of Acceldata, a data observability platform that helps companies manage the complexity of modern data infrastructure. Before starting the company, he spent years inside the problem — working on data engineering challenges at Hortonworks and other enterprise tech firms. Like a lot of technical founders, Rohit didn't start out dreaming of being a CEO — but the problem was too big to ignore. In this episode, we talk about: Why data engineering lacked the right tooling and how that led to Acceldata How his team validated the concept with real-world customer pain points The trade-offs of building in stealth mode vs. in public What he's learned about hiring, scaling, and making the leap from engineer to CEO If you're trying to figure out how to go from technical insight to scalable business, this one's for you. RUNTIME 37:37 EPISODE BREAKDOWN (2:16) “ There are four of us co-founders, and we were all part of the same engineering team at Hortonworks.” (4:33) “ We felt that here was a unique opportunity for us to be able to build something really, really large and big.” (6:16) How Acceldata approached proof-of-concept programs in its early days. (8:23) “ How did you decide which one of you would become the CEO?” (11:31) Rohit's seed-stage recruiting strategy: “ we had to excite them with the long-term vision.” (14:35) “ People like me, we learned how to sell despite coming from an engineering background.” (16:46) Why the co-founders “took a leap of faith” by formalizing their sales process early. (18:46) “ We were familiar with how business is conducted in the U.S.,” which made expansion easier. (21:08) Early challenges they faced after closing a Series A. (23:08) How “a big mistake” from a previous startup still influences Rohit's choices today. (25:30) Wondering if it's time to throw in the towel? Do a self-assessment. (28:31) Three core skills engineers need to acquire if they want to become effective CEOs. (31:39) “ I used to interview almost everyone until we were at about, you know, 170-180.” (33:82) How creating a 10-year strategy informed their day-to-day decision making. (36:27) The one question he'd have to ask the CEO in an interview before he could accept an offer. LINKS Acceldata Rohit Choudhary, co-founder/CEO Ashwin Rajeeva, co-founder/CTO Gaurav Nagar, co-founder/Senior Architect Raghu Mitra Kandikonda, co-founder/Director of Engineering Lightspeed Venture Partners Acceldata Announces $50 Million in Series C Funding to Expand Market Leadership and Product Innovation in Data Observability (press release) SUBSCRIBE LinkedIn Substack Instagram Thanks for listening! – Walter.

Tristan Handy is the Founder and CEO at dbt Labs, a cloud-based data management platform that has raised over $400M to date, and was last valued at $4.2B in 2022. Dbt Labs has grown from just three companies using its free tool in 2016 to an ecosystem of 30,000+ enterprise users. Before founding dbt Labs, Tristan was the VP of Marketing at RJMetrics and the Director of Operations at Squarespace. – In today's episode, we discuss: Dbt's explosive growth The strategic pivot from consulting to a software company Unexpected strategies for building a tech category from scratch The critical moment: Why and when dbt Labs sought venture funding How to drive commercial adoption after open-sourcing Two things every founder CEO should do Much more – Referenced: Amazon Redshift: https://aws.amazon.com/redshift/ Bob Moore: https://www.linkedin.com/in/robertjmoore/ Crossbeam: https://www.crossbeam.com/ dbt Labs: https://www.getdbt.com/ Drew Banin: https://www.linkedin.com/in/drewbanin/ Jerry Colonna: https://www.reboot.io/team/jerry-colonna/ RJMetrics: https://en.wikipedia.org/wiki/RJMetrics SeatGeek: https://seatgeek.com/ Steve Ritter: https://www.linkedin.com/in/steve-ritter-69495210/ Squarespace: https://www.squarespace.com/ – Where to find Tristan: LinkedIn: https://www.linkedin.com/in/tristanhandy/ Twitter/X: https://x.com/jthandy – Where to find Brett: LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson – Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast – Timestamps: (00:00) Introduction (02:56) The critical oversight in data analysis (05:41) Becoming an “accidental founder” (07:04) Inside the unique decision to start a consultancy (08:17) The game-changing principle behind dbt Labs' rapid growth (11:20) Finding dbt Labs' first customers (15:52) Consulting's hidden scalability (17:25) How dbt Labs created a new category (21:03) The anti-demo strategy (23:59) Community hacking: the Slack group that changed everything (26:00) The open source philosophy (27:39) When growth went exponential (28:49) How consulting engagements shaped the roadmap (30:02) Fundraising only when “things started to break” (32:40) Consultancy superpowers: the hidden advantages (34:04) Pivoting from consulting to software (40:00) Key monetization strategies (48:56) Why “begrudging” CEOs can be successful (51:02) Advice for finding PMF: “It's not a playbook” (51:59) Lowering your standards is a hack (53:30) Navigating emotional overwhelm (54:25) Every CEO needs a coach

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. This episode of Data Product Management in Action, host Michael Toland sits down with Max Fritzhand, the creator of Bolta AI, to explore how he turned a simple frustration into a powerful platform for managing social media on Threads. Max discusses leveraging machine learning, navigating API challenges, and engaging users to create a feature-rich tool that offers analytics, content suggestions, and optimal posting times. A must-listen for innovators and product managers alike! About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn. About our guest Max Fritzhand: Max is a software engineer and entrepreneur based in Cincinnati, Ohio, with a passion for innovation and automation. With a background in developing user-centric tools, he's built projects like Bolta to simplify social media management and empower creators. Known for his drive to achieve financial independence, he explores investment opportunities and strives to build impactful, scalable solutions. A creative thinker with ADHD, Max channels his energy into solving complex problems and building a fulfilling work-life balance. Connect with Max on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!   

Pourquoi la majorité des projets IT s'arrêtent avant la fin ?Dans cet épisode de TechVision, Gaëlle et Thomas décryptent les raisons fréquentes d'échec des projets IT, même à l'ère des technologies avancées. Pourquoi certains projets peinent-ils à délivrer des résultats, malgré des investissements conséquents ? Quels pièges éviter et quelles bonnes pratiques adopter pour garantir le succès ?Au programme :

In this episode of the Startup CPG podcast, Daniel Scharff explores the world of SupplySide West with Wiley Jones, Founder and CEO of Doss, who sponsored 2 lucky brands to attend SupplySide West this year - Paul and Barbara Logan from Uncle's Ice Cream; and Mark Collis, CEO of Scout Organic.At Doss they're building tools for teams that work in the Real World. Manage your operations from PO to POS all within one platform. DossARP is a lightweight ERP and Data Platform, whether you need a total overhaul or want to unify fragmented systems, visit them at doss.comListen in as they discuss:DossSupplySide WestPreparation and Networking TipsGeneral Impressions of Supply Side WestNetworking and Supply Chain ConnectionsSocial and Emotional BenefitsWho Should AttendKey Trends and Focus Areas at the ShowInsights for Startups and BrandsChallenges and Lessons SharedEpisode Links:Wiley JonesWebsite: doss.comLinkedIn: https://www.linkedin.com/in/wileycwjones/ Mark CollisInstagram Handle: @skoutorganicWebsite: https://www.skoutorganic.com/Paul and Barbara LoganWebsite: https://www.unclesicecream.com/ Instagram: https://www.instagram.com/unclesicecream/ Don't forget to leave a five-star review on Apple Podcasts or Spotify if you enjoyed this episode. For potential sponsorship opportunities or to join the Startup CPG community, visit http://www.startupcpg.comShow Links:Transcripts of each episode are available on the Transistor platform that hosts our podcast here (click on the episode and toggle to “Transcript” at the top)Join the Startup CPG Slack community (20K+ members and growing!)Follow @startupcpgVisit host Daniel's Linkedin Questions or comments about the episode? Email Daniel at podcast@startupcpg.comEpisode music by Super Fantastics

This Week in Startups is brought to you by… Vanta. Compliance and security shouldn't be a deal-breaker for startups to win new business. Vanta makes it easy for companies to get a SOC 2 report fast. TWiST listeners can get $1,000 off for a limited time at https://www.vanta.com/twist OpenPhone. Create business phone numbers for you and your team that work through an app on your smartphone or desktop. TWiST listeners can get an extra 20% off any plan for your first 6 months at https://www.openphone.com/twist⁠ Sprig. The Product Experience platform that generates AI-powered opportunities to continuously improve your product at scale. Visit https://www.sprig.com/twist to book a demo and get a $75 gift card. * Todays show: Jason and Alex dig into why Nvidia's latest earnings report is such a big deal, and how the chip giant could help keep the AI hype alive. Or, how it could poke a hole in market enthusiasm. The pair also welcome the CEO of Allen Control Systems to discuss building venture-backed defense companies. Then, the CEO of Querio joins the show to show off what his company has built. * Timestamps: (0:00) Jason and Alex kick off the show (1:32) Nvidia's expected $33B revenue and its transition from gaming GPUs to AI workloads. (9:01) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist (10:05) Nvidia's growth over time (15:55) When will an Nvidia lighthouse customer switch to a competitor's product? (22:28) OpenPhone - Get 20% off your first six months at https://www.openphone.com/twist⁠ (23:28) Allen Control Systems' Steven Simoni joins the show (32:38) Sprig - Visit https://www.sprig.com/twist to book a demo and get a $75 gift card. (33:52) The rise of venture-backed defense startups and autonomous systems for military applications (50:20) Querio's Rami Abi Habib joins the show (55:38) Demo of Querio's platform * Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp * Mentioned on the show: Check out Allen Control Systems: https://www.allencontrolsystems.com Check out Querio: https://querio.ai * Follow Steven: X: https://x.com/stevensimoni LinkedIn: https://www.linkedin.com/in/stevensimoni * Follow Rami: X: https://x.com/ramiabih LinkedIn: https://www.linkedin.com/in/datarami * Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm * Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Thank you to our partners: (9:01) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist (22:28) OpenPhone - Get 20% off your first six months at https://www.openphone.com/twist⁠ (32:38) Sprig - Visit https://www.sprig.com/twist to book a demo and get a $75 gift card. * Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland * Check out Jason's suite of newsletters: https://substack.com/@calacanis * Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com * Subscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences.  In Episode 24 of Data Product Management in Action, our host Nick Zervoudis is joined byTefi Trabuchi, Data Platform Product Manager at SumUp, to discuss her experience transforming a reactive data platform team into a user-focused, strategy-driven powerhouse. Tefi shares how she tackled challenges like burnout, prioritization struggles, and resistance to product practices such as user research and OKRs. She highlights the pivotal role of user interviews in shifting mindsets and the delicate balance between reducing risk, ensuring compliance, and driving innovation. Tefi also emphasizes the value of clear communication and curiosity when working in highly technical domains. This episode offers practical insights for product managers navigating the complexities of data, AI, and machine learning. About our host Nick Zervoudis: Nick is Head of Product at CKDelta, an AI software business within the CKHutchison Holdings group. Nick oversees a portfolio of data products and works with sister companies to uncover new opportunities to innovate using data,analytics, and machine learning.Nick's career has revolved around data and advanced analytics from day one,having worked as an analyst, consultant, product manager, and instructor for startups, SMEs, and enterprises including PepsiCo, Sainsbury's, Lloyds BankingGroup, IKEA, Capgemini Invent, BrainStation, QuantSpark, and Hg Capital. Nick is also the co-host ofLondon's Data Product Management meetup, andspeaks & writes regularly about data & AI product management. Connect with Nick on LinkedIn. About our guest Tefi Trabuchi:Tefi is a Data Platform Product Manager at SumUp, where she focuses on making sure our data tools are not only secure and efficient but also provide a smooth user experience for our internal teams. Before this, she led the development of an in-house Data Observability tool at Glovo, introducing governance rules and SLAs for key datasets. Tefi enjoys working closely with teams to create practical solutions that make accessing and using data easier and more intuitive, so everyone can make more informed decisions faster. Connect with Tefi on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!              

You want an optimized performance marketing stack, we have the expert insight. In season 14 of Step-By-Step, we've partnered with Triple Whale and Meta to help you maximize RoAS with higher-quality data.In this episode, you'll learn why first-party data is critical in a privacy-conscious eCommerce ecosystem, how domain-specific AI can revolutionize eCommerce analytics, and what the shift from self-hosted IT organizations to cloud-based solutions means for your business.Garbage In, Garbage OutKey takeaways:Triple Whale evolved from summary pages to cutting-edge tools like their Sonar integration with Meta Conversions API.Your data quality is key. Understanding where your marketing dollars are most effectively spent will unlock better RoAS.Feeding Meta better data through server-side connections transforms ad spend into ad gains.AI's Promise and Paradox: Can we teach machines context? We debate whether AI can replicate the intuitive decision-making of a savvy e-commerce operator.Simplifying complex workflows might mean less visibility, but greater efficiency and creative freedom.[00:09:17] "Garbage in, garbage out. Clean data is the alpha and omega of decision-making." – Brian[00:19:39] "The internet used to be the Wild West—now it's a privacy-conscious frontier." – Kellet[00:31:42] "If AI were a junior resource, it's the one you'd micromanage." – PhillipAssociated Links:Learn more about Sonar, Triple Whale's Meta IntegrationCheck out Future Commerce on YouTubeCheck out Future Commerce+ for exclusive content and save on merch and printSubscribe to Insiders and The Senses to read more about what we are witnessing in the commerce worldListen to our other episodes of Future CommerceHave any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners!

Stephen Bailey, a seasoned data leader and experienced data engineer, joins us to discuss his journey in data and tech. From his academic background in neuroscience to his current role at Whatnot, Bailey has consistently pushed the boundaries of data-driven innovation. We delve into his insights on the challenges and opportunities in the modern data landscape, including details into the problem solving skills developed in his PhD program, how he got his start in technology, a fascination with low tech problems in non-profits and the impact of AI on data engineering roles. Bailey shares his thoughts on how to navigate the complexities of AI in the workforce and how to remain relevant in the ever-evolving data space. Throughout the conversation, Bailey emphasizes the significance of human-centered approaches to data, emphasizing the need for strong collaboration between data teams and business stakeholders. He even discusses why the CEO is like “the best analyst in the business” which is an enlightening part of the discussion, and a refreshing perspective. As a prolific writer, Bailey shares his motivations for blogging and how he uses it to explore the intersection of data, technology, and society. His Substack, "Data, People, Etc.," offers insightful commentary on a range of topics, from data ethics to the future of work. Ultimately, this episode provides valuable insights for data professionals seeking to navigate the complexities of modern data landscapes, embrace emerging technologies, and build strong, data-driven organizations. Find Stephen on his Substack: https://stkbailey.substack.com/

Today is the first day at the PASS Data Community Summit and I'm in Seattle where I'll get to open the conference and introduce the Microsoft keynote. I'm sure the keynote will be full of announcements on something, but what? I'm writing this a little over a week before the event, and I have no idea what Microsoft will do. Actually, by the time you read this I may have some ideas as there was a practice session yesterday, but I can't tell you anything. NDA, and really, by the time I got something organized, the keynote will be done. Read the rest of What's New for the Microsoft Data Platform

In this episode, Carlos Gonzalez de Villaumbrosia interviews Andrew Davidson, Senior Vice President of Product at MongoDB.MongoDB is the most used modern database, powering some of the largest companies across industries like financial services, healthcare, and manufacturing. Originally launched as a free open-source project in 2009, MongoDB went public in 2017 and has grown into a $20Billion dollar enterprise data platform. In this episode, we'll discuss how to incentivize team members to grow within the same company for a long period of time, the key product milestones in MongoDB's transformation, nurturing a developer ecosystem, using AI to accelerate code deployment and scaling in the cloud, building 3rd-party integrations with over 100 partners, and allowing companies to integrate with MongoDB as they create their own data stack.Key Takeaways

Cree Lawson combined his curiosity for technology with his career in the travel industry to create Travel Ad Network, which connects advertisers with travel-related audiences online. Travel advertisers were frustrated with the inability to track whether ad viewers actually visited the destinations they promoted, so Cree figured out a solution and started his second travel tech venture. Arrivalist was created in 2012 to provide offline visitor tracking and analytics to online advertisers in the travel industry. They bootstrapped and grew efficiently, with some revenue-based financing from Lighter Capital, not requiring big outside equity funding to build out their platform and acquire new customers.  They grew steadily and became was through 2019. After the COVID travel disruption faded, Cree sold Arrivalist to Alpine Investors, owners of AirDNA, another travel data company. John is no longer the CEO of Arrivalist, but he is still involved in the company as a board member and spokesperson. Quote from Cree Lawson, Founder of Arrivalist “New entrepreneurs need to answer three questions to see if they have a real business. Can you do it? Will people pay you to do it? Will you get paid more than it costs to do it? You can answer those without spending a lot of money. “Once you answer those three questions, you are off and running. I could answer those questions at Arrivalist, and we didn't need to raise outside funding. Bootstrapping was a bad word in 2011. People told me to stop calling myself a bootstrapper, but it worked well for us.” Links Cree Lawson on LinkedIn Arrivalist on LinkedIn AirDNA website Alpine Investors Podcast Sponsor – Full Scale This week's podcast is sponsored by Full Scale, one of the fastest-growing software development companies in any region. Full Scale vets, employs, and supports over 300 professional developers, designers, and testers in the Philippines who can augment and extend your core dev team. Learn more at fullscale.io. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. 

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences.  In Season 01, Episode 16,  we introduce another one of our amazing hosts, Nick Zervoudis. Nick is the head of Products for Data and AI at CKDelta. He shares his journey into product management and discusses his dual roles, managing data monetization products and consulting for sister companies. We will discuss Nick's career highlights, key successes, and challenges. Get to know Nick and learn about journey into the field of Data Product management!  About our host Nick Zervoudis: Nick is Head of Product at CKDelta, an AI software business within the CK Hutchison Holdings group. Nick oversees a portfolio of data products and works with sister companies to uncover new opportunities to innovate using data, analytics, and machine learning. Nick's career has revolved around data and advanced analytics from day one, having worked as an analyst, consultant, product manager, and instructor for startups, SMEs, and enterprises including PepsiCo, Sainsbury's, Lloyds Banking Group, IKEA, Capgemini Invent, BrainStation, QuantSpark, and Hg Capital. Nick is also the co-host of London's Data Product Management meetup, and speaks & writes regularly about data & AI product management. Connect with Nick on LinkedIn.   All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights! 

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences.  In Season 01, Episode 17, host Nick Zervoudis ( Head of Product at CKDelta) talks to Grace Talem (Product Manager with Power Digital Marketing). In this episode Grace shares her career journey and highlights the importance of diverse experiences in shaping a successful product manager. She discusses the value of empathy, strong relationships with engineering and data teams, and the role of curiosity in asking the right questions. Listen to Grace as she shares her plans for a career break to explore new projects!  About our host Nick Zervoudis: Nick is Head of Product at CKDelta, an AI software business within the CK Hutchison Holdings group. Nick oversees a portfolio of data products and works with sister companies to uncover new opportunities to innovate using data, analytics, and machine learning. Nick's career has revolved around data and advanced analytics from day one, having worked as an analyst, consultant, product manager, and instructor for startups, SMEs, and enterprises including PepsiCo, Sainsbury's, Lloyds Banking Group, IKEA, Capgemini Invent, BrainStation, QuantSpark, and Hg Capital. Nick is also the co-host of London's Data Product Management meetup, and speaks & writes regularly about data & AI product management. Connect with Nick on LinkedIn.   About our guest Grace Halim: Grace is a seasoned product leader with a passion for building innovative products. With over 12 years of product management experience, Grace has honed her skills in leading high-performing product teams and delivering exceptional customer experiences. From crafting engaging data products to optimizing complex enterprise systems, Grace has a proven track record of success in the product management field. Grace is currently on a career break traveling around Australia in a caravan with her young family. Having been a product leader in the last two roles she held, Grace excelled in building and scaling product teams, fostering a culture of innovation, and driving business growth. Her teams' focus on customer focus and strategic thinking have been instrumental in delivering successful products that resonate with customers and drive bottom-line results. Beyond her corporate experience, Grace is an entrepreneur at heart. As co-founder of a data platform, she demonstrated her ability to turn a vision into a paying customer. Stay up to date with Grace's adventure on LinkedIn.  All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!              

Global Feature Store: Optimizing Locally and Scaling Globally at Delivery Hero // MLOps Podcast #263 with Delivery Hero's Gottam Sai Bharath, Senior Machine Learning Engineer & Cole Bailey, ML Platform Engineering Manager. // Abstract Delivery Hero innovates locally within each department to develop MLOps practices most effective in that particular context. We also discuss our efforts to reduce redundancy and inefficiency across the company. Hear about our experiences in creating multiple micro feature stores within our departments, and our goal to unify these into a Global Feature Store that is more powerful when combined. // Bio Sai Bharath Gottam With a passion for translating complex technical concepts into practical solutions, Sai excels at making intricate topics accessible and engaging. As a Senior Machine Learning Engineer at Delivery Hero, Sai works on cutting-edge machine learning platforms that guarantee seamless delivery experiences. Always eager to share insights and innovations, Sai is committed to making technology understandable and enjoyable for all. Cole Bailey Bridging data science and production-grade software engineering. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Website: https://www.deliveryhero.com/ --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Sai on LinkedIn: https://www.linkedin.com/in/sai-bharath-gottam/ Connect with Cole on LinkedIn: www.linkedin.com/in/cole-bailey Timestamps: [00:00] Sai and Cole's preferred coffee [00:42] Takeaways [01:51] Please like, share, leave a review, and subscribe to our MLOps channels! [02:08] Life changes in Delivery Hero [05:21] Global Feature Store and Pandora [12:21] Tech integration strategies [20:08] Defining Feature and Feature Store [22:46] Feature Store vs Data Platform [26:26] Features are discoverable [32:56] Onboarding and Feature Testing [36:00] Data consistency [41:07] Future Vision Feature Store [44:17] Multi-cloud strategies [46:33] Wrap up

In this episode, we talk to Maxime Meijers and Nicolas Meijers, co-founders of Estuaire, who share insights into their innovative data platform that provides comprehensive climate impact assessments for the aviation industry.Maxime and Nicolas share:The development of Estuaire's data platform, which fuses various data sources to provide granular and exhaustive climate impact modelling for individual flights.The significant impact of non-CO2 emissions, particularly contrails, which can represent an additional 30% climate impact on top of CO2 emissions.The importance of sustainable aviation fuel (SAF) in reducing both CO2 and non-CO2 emissions, and Estuaire's approach to optimising SAF allocation for maximum climate benefit.The surprising finding that only 2% of flights are responsible for 80% of aviation's contrail warming effect, and how Estuaire's technology helps identify these high-impact flights.The potential for airlines to achieve significant climate savings through small changes in flight operations, such as slight altitude adjustments to avoid contrail-prone areas.Throughout the conversation, Maxime and Nicolas emphasise the unique transparency of the aviation sector and how Estuaire leverages this data to drive actionable insights for airlines, airports, and other stakeholders in the aviation ecosystem. Looking to the future, they discuss their ambitious goal of having 10 major airlines successfully implement contrail mitigation programs within the next year, showcasing the potential for rapid progress in sustainable aviation practices.If you LOVED this episode, you'll also love the conversation we had with Alejandra Martín Frías, Head of Sustainability Research at FLIGHTKEYS, who shares insights into the company's research on contrail avoidance and its potential impact on aviation sustainability. Check it out here. Learn more about the innovators who are navigating the industry's challenges to make sustainable aviation a reality, in our new book ‘Sustainability in the Air'. Click here to learn more.Feel free to reach out via email to podcast@simpliflying.com. For more content on sustainable aviation, visit our website green.simpliflying.com and join the movement. It's about time.Links & More:EstuaireContrail Index - Estuaire ESTUAIRE raises €2.2M in seed round to reduce the climate impact of aviation - Safran How FLIGHTKEYS promises major climate gains at a minimal cost - SimpliFlying 

The global market for databases grew by 12.8% in 2023, according research by Gartner, and is now worth some $102bn annually. Within that, data science and AI platforms were the fastest-growing subsegments.Clearly, there's a growing need for smart database solutions that can interpret data and provide insights to all levels and roles within an organization. And it's one of those solutions we're looking into today - HPE's Intelligent Data Platform. Joining us today to find out more is Rangan Sukumar, a distinguished technologist in the chief technology office at HPE, responsible for HPC and AI.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: https://www.linkedin.com/in/rangan/ Sources and statistics cited in this episode: Gartner research into the database segment: https://www.gartner.com/en/documents/5485495KPMG research into data platforms: https://assets.kpmg.com/content/dam/kpmg/nz/pdf/2023/09/data-platforms-in-2024.pdfDepartment of Transportation policy on smart highways: https://www.its.dot.gov/research_areas/emerging_tech/pdf/Accelerate_V2X_Deployment.pdfTechnology Untangled podcast episode on autonomous vehicles: https://www.technologyuntangled.fm/episodes/autonomous-vehicles-are-we-steering-in-the-right-direction

The global market for databases grew by 12.8% in 2023, according research by Gartner, and is now worth some $102bn annually. Within that, data science and AI platforms were the fastest-growing subsegments.Clearly, there's a growing need for smart database solutions that can interpret data and provide insights to all levels and roles within an organization. And it's one of those solutions we're looking into today - HPE's Intelligent Data Platform. Joining us today to find out more is Rangan Sukumar, a distinguished technologist in the chief technology office at HPE, responsible for HPC and AI.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: https://www.linkedin.com/in/rangan/ Sources and statistics cited in this episode: Gartner research into the database segment: https://www.gartner.com/en/documents/5485495KPMG research into data platforms: https://assets.kpmg.com/content/dam/kpmg/nz/pdf/2023/09/data-platforms-in-2024.pdfDepartment of Transportation policy on smart highways: https://www.its.dot.gov/research_areas/emerging_tech/pdf/Accelerate_V2X_Deployment.pdfTechnology Untangled podcast episode on autonomous vehicles: https://www.technologyuntangled.fm/episodes/autonomous-vehicles-are-we-steering-in-the-right-direction

The global market for databases grew by 12.8% in 2023, according research by Gartner, and is now worth some $102bn annually. Within that, data science and AI platforms were the fastest-growing subsegments.Clearly, there's a growing need for smart database solutions that can interpret data and provide insights to all levels and roles within an organization. And it's one of those solutions we're looking into today - HPE's Intelligent Data Platform. Joining us today to find out more is Rangan Sukumar, a distinguished technologist in the chief technology office at HPE, responsible for HPC and AI.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: https://www.linkedin.com/in/rangan/ Sources and statistics cited in this episode: Gartner research into the database segment: https://www.gartner.com/en/documents/5485495KPMG research into data platforms: https://assets.kpmg.com/content/dam/kpmg/nz/pdf/2023/09/data-platforms-in-2024.pdfDepartment of Transportation policy on smart highways: https://www.its.dot.gov/research_areas/emerging_tech/pdf/Accelerate_V2X_Deployment.pdfTechnology Untangled podcast episode on autonomous vehicles: https://www.technologyuntangled.fm/episodes/autonomous-vehicles-are-we-steering-in-the-right-direction

“Every customer recognizes that it is data that is the fuel that powers AI,” says Arun Ulag, corporate vice president of Microsoft's Azure Data. In this episode of Bloomberg Intelligence's Tech Disruptors podcast, Ulag talks with BI senior technology officer Anurag Rana about how Microsoft has been reorganizing its data management and insights portfolio for customers looking to leverage their data for AI. At the center of this is Microsoft Fabric, the company's newer software-as-a-service, aimed at delivering a full data and analytics platform all in one. Ulag also discusses the company's efforts to leverage open data to make its services compatible with third parties outside the Microsoft ecosystem, to provide customers with the widest range of options.

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. We've released a special edition series of minisodes of our podcast. Recorded live at Data Connect 2024, our host Michael Toland engages in short, sweet, informative, and delightful conversations with five prevelant practitioners who are forging their way forward in data and technology. Recorded on Day 2 of Data Connect 2024, Michael sits down with Vishaka Gupta-Cledat, CEO and co-founder of Aperture, a spin-off from Intel. They explore Aperture's mission to simplify the work of data scientists, data engineers, and machine learning teams. About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. About our guest Vishaka Gupta-Cledat: Vishaka is the Co-founder and CEO of ApertureData. Before launching ApertureData, she spent over seven years at Intel Labs, where she led the design and development of VDMS (the Visual Data Management System), which is now the foundation of ApertureData's flagship product, ApertureDB. Her expertise spans diverse areas, including scheduling in heterogeneous multi-core environments, graph-based storage, applications on non-volatile memory systems, and tackling visual data management challenges for analytics use cases. Connect with Vishaka on LinkedIn.  All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate a practitioner.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. We've released a special edition series of minisodes of our podcast. Recorded live at Data Connect 2024, our host Michael Toland engages in short, sweet, informative, and delightful conversations with five prevelant practitioners who are forging their way forward in data and technology. Recorded on Day 2 of Data Connect 2024, Michael chats with Morgan Templar, CEO at First CDO Partners, to explore how her organization empowers companies to truly understand their data and leverage it to achieve their goals. Morgan delves into the strategies that help businesses not only comprehend the value of their data but also monetize it effectively. This conversation builds on a topic that piqued Michael's interest last year—understanding the tangible value of data and how it can be a game-changer for organizations.  About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn. About our guest Morgan Templar: Morgan is a data executive with over 20 years of experience in managing and transforming data assets. She is the best-selling author of two books, Get Governed and A Culture of Governance, which reflect her deep commitment to creating a better world through improved information. Morgan is passionate about evangelizing the importance and value of getting data right, believing that better data leads to better lives. Her mission is simple yet profound: to make the world a better place for at least one person each day, with data playing a foundational role in enhancing our daily experiences. Connect with Morgan on LinkedIn.  All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate a practitioner.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. We've released a special edition series of minisodes of our podcast. Recorded live at Data Connect 2024, our host Michael Toland engages in short, sweet, informative, and delightful conversations with five prevelant practitioners who are forging their way forward in data and technology. About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn About our guest Jean-Georges Perrin: Jean-Georges “jgp” Perrin is the Chief Innovation Officer at AbeaData, where he focuses on developing cutting-edge data tooling. He chairs the Open Data Contract Standard (ODCS) at the Linux Foundation's Bitol project, co-founded the AIDA User Group, and has authored several influential books, including Implementing Data Mesh (O'Reilly) and Spark in Action, 2nd Edition (Manning). With over 25 years in IT, Jean-Georges is recognized as a Lifetime IBM Champion, a PayPal Champion, and a Data Mesh MVP. His expertise spans data engineering, governance, and the industrialization of data science. Outside of tech, he enjoys exploring Upstate New York and New England with his family. Connect with J-GP on LinkedIn.  All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate a practitioner.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. We've released a special edition series of minisodes of our podcast. Recorded live at Data Connect 2024, our host Michael Toland engages in short, sweet, informative, and delightful conversations with five prevelant practitioners who are forging their way forward in data and technology. In this minisode, Michael reconnects with his former colleague Lindsay Murphy as she delves into a crucial yet often overlooked aspect of data management—cost containment. Lindsay's session at Data Connect 2024 emphasizes the importance of considering costs as a critical piece of your data team's ROI. While data teams often focus on value creation and return on investment, they can easily lose sight of the expenses associated with the complex stacks they build. Lindsay offers practical insights on how to strike a balance between innovation and cost-efficiency. Plus, a special shout-out to Lindsay's new podcast, Women Lead Data—hurrah! This podcast is set to inspire and empower women in the data industry, providing a platform for sharing experiences, insights, and strategies for success. About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn About our guest Lindsay Murphy: Lindsay is a data leader with 13 years of experience in building and scaling data teams. She has successfully launched and led data initiatives at startups such as BenchSci, Maple, and Secoda. Her expertise includes developing internal data products, implementing modern data stack infrastructures, building and mentoring data engineering teams, and crafting data strategies that align with organizational goals. An active member of the data community, Lindsay organizes the Toronto Modern Data Stack Meetup group, which boasts over 2,500 members. She has also taught Advanced dbt to more than 100 students through Uplimit and hosts a weekly podcast, Women Lead Data, where she shares insights and amplifies the voices of women in the data industry. Connect with Lindsay on LinkedIn.  All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate a practitioner.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. We've released a special edition series of minisodes of our podcast. Recorded live at Data Connect 2024, our host Michael Toland engages in short, sweet, informative, and delightful conversations with five prevelant practitioners who are forging their way forward in data and technology. Recorded on Day 2 of Data Connect 2024, Michael sits down with Kim Theis, CEO Abea Data, for her first appearance at both Data Connect 2024 and in Columbus, Ohio. Kim shares insights from her recent talk at the conference, where she focused on maximizing ROI from data-driven projects—a topic she has extensively researched. Since transitioning from her role at PayPal, Kim has been on a mission to help individuals and organizations better understand the journey toward adopting data products and the tangible benefits they can offer. About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn.  About our guest Kim Theis: Kim is the CEO and co-founder of AbeaData, a company transforming how data is leveraged as a product and driving the success of AI initiatives across industries. With over 20 years of experience, Kim has a proven track record of delivering data innovation and excellence in various leadership roles. Before founding AbeaData, she served as the Head of Intelligence Automation at PayPal, where she reorganized the team to support a decentralized data framework, launched a data mesh in under a year, and led the team that pioneered the world's first open-source Data Contract. Her extensive experience also includes executive data consulting and technology leadership roles within Fortune 500 and FTSE 100 companies. Connect with Kim on LinkedIn.  All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate a practitioner.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

I ran into a pretty substantial question this week.Am I working in my business, or am I working on my business? I've been spending so much time building features, talking to customers, – it's operational work in the trenches. It's taking small steps, looking at the ground, instead of dreaming of giant leaps while gazing at the stars.So, what can I do to get out of this?You'll hear it here today.This episode is sponsored by Podscan.fmThe blog post: https://thebootstrappedfounder.com/working-in-vs-working-on-the-business/ The podcast episode: https://tbf.fm/episodes/working-in-vs-working-on-the-businessCheck out Podscan to get alerts when you're mentioned on podcasts: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In Season 01, Episode 10, host Michael Toland (Product Management Coach and Consultant with Pathfinder Product) talks to Tarek Elqoulaq (Product Manager with Power Digital Marketing). Tarek shares his unconventional journey into data product management, despite not having a background in data or engineering. With experience in product growth and SEO consulting for companies like Audible, Spotify, and Dropbox, Tarek offers a unique perspective on shifting into data platform product management. He and Michael delve into the resources that helped him bridge the knowledge gap, emphasizing the value of hands-on learning. Tarek also discusses the importance of building cross-functional relationships and understanding the architecture and design of the systems you work with. This mindset shift enables tailoring solutions that add value across the organization, highlighting the significance of prioritization and alignment with broader business goals. About our host Michael Toland: Michael is a Product Management Coach and Consultant with Pathfinder Product, a Test Double Operation. Since 2016, Michael has worked on large-scale system modernizations and migration initiatives at Verizon. Outside his professional career, Michael serves as the Treasurer for the New Leaders Council, mentors with Venture for America, sings with the Columbus Symphony, and writes satire for his blog Dignified Product. He is excited to discuss data product management with the podcast audience. Connect with Michael on LinkedIn. About our guest Tarek Elqoulaq: Tarek is a product manager specializing in data platforms, with a passion for building systems that drive high-revenue data products. He previously worked in product growth and consulting, collaborating closely with SEO and product teams at companies like Audible, Spotify, and Dropbox, among others. Connect with Tarek on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate someone that you know. Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In Season 01, Episode 09, host Frannie Helforoush (Senior Digital Product Manager at RBC Global Asset Management) talks to guest Jill Maffeo (Principal Product Manager at Vista). Jill is a data and product management practitioner who joins Frannie in conversation to talk about building and leading effective data and product teams. There's a lot for listeners to takeaway including challenges faced by Jill and how to foster collaboration and drive success. A few of the big questions tackled in this episode are: What are the key elements in building a cohesive and productive team? How can you optimize team structures for efficiency and innovation? What is the 'Product Trio', and why is it crucial for creating successful digital products? How do you integrate data-driven insights into the product development lifecycle? What team metrics or process metrics to follow to align a team? Should a data product manager report to a CPO or a data leader?   About our host Frannie Helforoush: Frannie's journey began as a software engineer and evolved into a strategic product manager. Now, as a data product manager, she leverages her expertise in both fields to create impactful solutions. Frannie thrives on making data accessible and actionable, driving product innovation, and ensuring product thinking is integral to data management. Connect with Frannie on LinkedIn. About our guest Jill Maffeo: Jill has a background in analytics and product management, with experience spanning teams focused on channels and marketing, customer retention, customer service, and ecommerce site platforms. Currently, she leads the strategy for Site Search at Vistaprint, overseeing a dynamic team of software engineers, data engineers, a data product analyst, and data scientists dedicated to enhancing customer and partner experiences. Jill's professional passion lies in metadata development and management, providing solid foundational data to build models and orchestrate customer journeys. Outside of work, she enjoys good books, tasty food, and going on walks. Connect with Jill on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate someone that you know. Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

Greetings, listeners! Welcome to another exciting episode of The SaaS CFO Podcast. Today, we're thrilled to host Colby DeRodeff, co-founder and CEO of Abstract Security, with over 25 years of experience in the cybersecurity field. From his early days at Arcsight to pivotal roles at Silvertail Systems, Anomaly, and Veridan, which later became part of Google, Colby's journey is a masterclass in innovation and leadership. In this episode, Colby delves into Abstract Security's mission to redefine the future of security operations. He shares how his team is tackling the relentless cyber threats by monitoring and managing threat data in real-time to protect organizations from breaches. Colby's passion makes the complex world of cybersecurity both accessible and intriguing. We also explore his entrepreneurial journey, discussing the challenges and successes of building a SaaS company. Colby offers invaluable advice on fundraising, securing venture capital, and the strategic steps necessary for delivering a successful product. Whether you're a tech enthusiast, entrepreneur, or curious about cybersecurity, this episode is packed with insights and inspiration. So, buckle up and join us on The SaaS CFO Podcast as we uncover Colby DeRodeff's incredible story and vision. Trust us, you won't want to miss this! Show Notes: 00:00 Built fraud detection content, co-founded successful companies. 05:25 Expansion of cloud infrastructure can lead to challenges. 07:42 Company hubs in various U.S. locations, future-focused. 10:09 Leveraging strong networks to shape product direction. 15:07 Be cautious with venture capitalists, seek experience. 16:23 Experienced advisors provide valuable insights for startups. 21:18 Internal product use vital for customer success. 23:05 Appreciate your time, check out Abstract Security. Links: SaaS Fundraising Stories: https://www.thesaasnews.com/news/abstract-security-raises-8-5m-in-seed-round Colby DeRodeff's LinkedIn: https://www.linkedin.com/in/colbyderodeff/ Abstract Security's LinkedIn: https://www.linkedin.com/company/abstractsecurity/ Abstract Security's Website: https://www.abstract.security/ To learn more about Ben check out the links below: Subscribe to Ben's daily metrics newsletter: https://saasmetricsschool.beehiiv.com/subscribe Subscribe to Ben's SaaS newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page SaaS Metrics courses here: https://www.thesaasacademy.com/ Join Ben's SaaS community here: https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Follow Ben on LinkedIn: https://www.linkedin.com/in/benrmurray

On this episode of the Six Five On the Road, hosts Dave Nicholson and Alastair Cooke are joined by WEKA's Shimon Ben David, Chief Technology Officer, for a conversation on how WEKA's solutions, including the WEKApod Data Platform Appliance, are designed to keep storage technology in pace with the rapidly evolving demands of today's AI workloads. Their discussion covers: The challenges that current AI workloads pose to traditional storage systems. An overview of WEKApod Data Platform Appliance and its capabilities. How WEKA's solutions are helping organizations optimize their data infrastructure for AI. Trends in AI that are shaping the future of storage technology. Insights into the partnership with Solidigm and its impact on advancing AI storage solutions.  

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In Season 01, Episode 08, host Frannie Helforoush (Senior Digital Product Manager at RBC Global Asset Management) and guest Corrin Sholomo Goldenberg (Product Manager at Chainlink Labs), a practitioner with experience in both software product management and data product management, focus their conversation on building data platforms and teams from scratch. Their conversation also explores team dynamics and structure in product and data management. Takeaways include insights into KPIs and metrics to measure success, effective team structures, collaboration strategies, and the integration of diverse expertise.  About our host Frannie Helforoush: Frannie's journey began as a software engineer and evolved into a strategic product manager. Now, as a data product manager, she leverages her expertise in both fields to create impactful solutions. Frannie thrives on making data accessible and actionable, driving product innovation, and ensuring product thinking is integral to data management. Connect with Frannie on LinkedIn. About our guest Corrin Shlomo Goldenberg: Corrin is a data-driven product manager with nearly two decades of experience in the tech industry, that fuels the creation of impactful data products that make a real difference. Corrin is passionate about uncovering insights across diverse fields. Connect with Corrin on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. Join the conversation on LinkedIn. Apply to be a guest or nominate someone that you know. Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!

Aliza Carpio (Director of Product Management Data Platform at JLL Technologies) discusses with Etienne open source communities, codes of conduct, and the relationship between product management and engineering. She emphasizes the importance of open source as a team sport and the benefits of collaboration and problem-solving in the open source community.Aliza also highlights the value of open source for businesses, including cost savings and access to tried and true solutions. She emphasizes the need for clear communication and inclusive documentation in open source projects, as well as the importance of psychological safety in remote work environments. In this conversation, Aliza and Etienne discuss the importance of communication and collaboration between product managers and engineers as well as emphasizing the need for product managers to understand the 'why' behind their products and for engineers to understand the customer problem.They also highlight the value of experimentation and failure in the product development process. The conversation concludes with a discussion on the potential impact of language models like ChatGPT on communication and trust.Time Stamps00:00 - Introduction and Overview00:40 - Aliza's Background and Role in Product Management06:47 - The Value of Open Source for Businesses13:31 - Creating Safety and Inclusivity in Open Source Communities25:11 - The Importance of Reflection and Intentional Connection29:38 - Invitation to Join 7CTOs Growth Program31:20 - The Importance of Understanding the 'Why' in Product Management36:08 - The Role of Engineers in Understanding the Customer Problem39:46 - The Value of Experimentation and Failure in Product Development44:32 - Creating a Culture of Experimentation and Discovery51:53 - The Potential Impact of Language Models on Communication and Trust58:55 - Effective Communication and Collaboration in Product DevelopmentWe have 200+ CTOs in peer groups: Quick Testimonials VideoContact Etienne: Website / YouTube / LinkedIn / X / Instagram / The CTO Podcast WebsiteContact Aliza: Website /LinkedIn Get full access to The CTO Podcast at www.ctopod.com/subscribe

Ima Okonny is the Chief Data Officer at Employment and Social Development Canada. Ima leads work across the department of 40,000 people to better understand and use data to deliver services to Canadians. In this episode she joins host Olivia Neal to discuss foundational data platform approaches, responsible use of AI, and how she's building data literacy right across the organization.  Click here for transcript of this episode.   Click here for the corresponding blog post for this episode.   Olivia Neal [host] |  LinkedIn   Ima Okonny [guest] |  LinkedIn  Microsoft Public Sector Center of Expertise for more information and transcripts of all episodes.  Discover and follow other Microsoft podcasts at news.microsoft.com/podcasts/. 

Community leaders regularly make decisions that impact the lives of community members. From where green space will be located to what businesses to approve to what public health interventions to put in place. There's a growing recognition that such decisions should be informed by data that come from the community itself. Community analytics are the focus of this episode of Stats and Stories with guest Kathy Ensor. Kathy Ensor is a leading national voice in statistics and data science and a recognized expert in the methodological development and application of statistics to advance wisdom, knowledge, and innovation. She is the Noah G. Harding Professor of Statistics at Rice University and director of the Center for Computational Finance and Economic Systems. She served as chair of the Department of Statistics from 1999 through 2013 and is the creator of the Kinder Institute's Urban Data Platform. Ensor's research specializes in understanding dependent data and developing computational statistical methods to solve practical problems. Ensor served as the 117th president of the American Statistical Association (ASA), heading the ASA board of directors, and has represented the statistics profession on numerous national boards. She is a fellow of the ASA and AAAS and was inducted into the Texas A&M College of Science Academy of Distinguished Former Students in 2021. Ensor holds a BSE and MS in mathematics from Arkansas State University and a PhD in statistics from Texas A&M University.

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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/)

William Simonin is the c-founder of Ta-da - a data platform for AI. Projected to reach $109B by 2032, the data collection market is primed for disruption. Ta-da offers high-quality data at lower costs, outperforming outsourcing and micro-tasking companies with a hybrid model that ensures quality, cost-effectiveness and scalability.   Why you should listen Data is the new oil. Several growth factors are present in the data market, one of them being artificial intelligence, a big consumer of data. By 2032, the data collection market will experience a Compound Annual Growth Rate (CAGR) of 25%, meaning that the market will grow from $63 billion to $109 billion dollars. Ta-da is innovating an old data collection technique, crowdsourcing, to collect and validate data through their community, at a price you choose. Ta-da specializes in Voice Recordings, Images, Videos, Text, and labeling to cater to user data collection needs. Companies can get more accurate AI models with custom datasets at a fair price.  Although the data collection market is promising, it still relies on mechanisms and technologies that can be improved. There is a market with great potential which is still based on outdated processes. In this context, Ta-da aims to become the first decentralized web3 micro-tasking data collection platform on the blockchain.  Ta-da is a solution that enables cost-effective, high-quality, and diversified data collection. Their web and mobile application allows users to provide data that meets precise criteria through our clients. Ta-da offers flexibility by enabling companies to specify and customize their requirements in detail.  The Ta-da platform promises traceability of the production and verification process, as well as fair remuneration of the community via its TADA token. Their goal is to establish Ta-da as the standard for data collection. Supporting links Ta-da Andy on Twitter  Brave New Coin on Twitter Brave New Coin  If you enjoyed the show please subscribe to the Crypto Conversation and give us a 5-star rating and a positive review in whatever podcast app you are using.  

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Michael's LinkedIn: https://www.linkedin.com/in/mjtoland/Marta's LinkedIn: https://www.linkedin.com/in/diazmarta/Sadie's LinkedIn: https://www.linkedin.com/in/sadie-martin-06404125/Sean's LinkedIn: https://www.linkedin.com/in/seangustafson/The Magic of Platforms by Gregor Hohpe: https://platformengineering.org/talks-library/the-magic-of-platformsStart with why -- how great leaders inspire action | Simon Sinek: https://www.youtube.com/watch?v=u4ZoJKF_VuAIn this episode, guest host Michael Toland Senior Product Manager at Pathfinder Product Labs/Testdouble and host of the upcoming Data Product Management in Action Podcast facilitated a discussion with Sadie Martin, Product Manager at Fivetran (guest of episode #64), Sean Gustafson, Director of Engineering - Data Platform at Delivery Hero (guest of episode #274), and Marta Diaz, Product Manager Data Platform at Adevinta Spain. As per usual, all guests were only reflecting their own views.The topic for this panel was how to treat your data platform as a product. While many people in the data space are talking about data products, not nearly as many are treating the platform used for creating and managing those data products as a product itself. This is about moving beyond the IT services model for your data work. Platforms have life-cycles and need product management principles too! Also, in data mesh, it is crucial to understand that 'platform' can be plural, it doesn't have to be one monolithic platform, users don't care.Scott note: As per usual, I...

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Cameron Turner, VP of Data Science at Kin + Carta, explores AI's limitations and challenges in business applications. Amid the excitement and promise of AI, there are significant challenges and complexities that organizations must navigate to build effective AI data platforms. It's easy for companies to get swept up in the hype of AI without first identifying opportunities that exist with their data. Today, Cameron discusses the challenges of creating an AI data platform.Connect With: Cameron Turner: Website // LinkedInData Driven Podcast: Email // LinkedIn // TwitterDominic Bohan: Website // LinkedIn // Twitter

Vast Data is quickly reshaping the AI-infrastructure providers landscape by breaking down the silos of structured and unstructured data to reach smarter generative-AI results. In this Tech Disruptors podcast, Vast CEO Renen Hallak speaks with Woo Jin Ho, Bloomberg Intelligence hardware and networking analyst, about how its differentiated storage approach has allowed it to move up the AI stack to the data layer and possibly to compute, resulting in several high profile customer wins and a multibillion valuation.

Join us in a dynamic conversation with Yori Lavi, Field CTO at SQream, as we unravel the data analytics landscape. From debunking the data lakehouse hype to SQream's GPU-based magic, discover how extreme data challenges are met with agility. Yori shares success stories, insights into SQream's petabyte-scale capabilities, and a roadmap to breaking down organizational bottlenecks in data science. Dive into the future of data analytics with SQream's commitment to innovation, leaving legacy formats behind and leading the charge in large-scale, cost-effective data projects. Tune in for a dose of GPU-powered revolution!   References SQream - GPU-based Big Data Platform   Patents Assigned to SQREAM TECHNOLOGIES LTD

Today we're joined by Ed Anuff, chief product officer at DataStax. In our conversation, we discuss Ed's insights on RAG, vector databases, embedding models, and more. We dig into the underpinnings of modern vector databases (like HNSW and DiskANN) that allow them to efficiently handle massive and unstructured data sets, and discuss how they help users serve up relevant results for RAG, AI assistants, and other use cases. We also discuss embedding models and their role in vector comparisons and database retrieval as well as the potential for GPU usage to enhance vector database performance. The complete show notes for this episode can be found at twimlai.com/go/664.

Stephany Lapierre is the CEO and Cofounder of Tealbook which is a provider of supplier data and e-commerce procurement technology. The company has raised $72 million from top tier investors including RTP Global, BDC Venture Capital, or Workday Ventures to name a few.

12/28/20 - SRF Blog - https://curesyngap1.org/blog/10-reasons-we-chose-ciitizen-for-the-syngap1-digital-natural-history-study-srfdociitizen/   9/7/21 - Invitae Press Release Acquisition - https://ir.invitae.com/news-and-events/press-releases/press-release-details/2021/Invitae-to-Acquire-Ciitizen-to-Strengthen-its-Patient-Consented-Health-Data-Platform-to-Improve-Personal-Outcomes-and-Global-Research/default.aspx   9/20/22 - Praxis uses ciitzen data for FDA submission for SCN2A https://www.prnewswire.com/news-releases/invitaes-real-world-ciitizen-data-utilized-in-praxis-precision-medicines-prax-222-ind-filing-301627677.html   10/25/23 - Pre-print of paper on SCN2A EEG Biomarker where ciitizen was involved https://www.medrxiv.org/content/10.1101/2023.10.24.23296360v1   12/1/23 - AES Poster - https://x.com/JillianLMcKee/status/1731420167672942878/   12/13/23 - Invitae Press Release Divest - https://ir.invitae.com/news-and-events/press-releases/press-release-details/2023/Inv[…]h-Data-Platform-and-Implements-Further-Cost-Cuts/default.aspx   12/13/23 - Ciitizen Announcement - https://www.ciitizen.com/announcement/   Dream Team https://www.linkedin.com/in/nashafitter/ https://www.linkedin.com/in/faridvij/ https://www.linkedin.com/in/elli-brimble-82774798/ https://www.linkedin.com/in/deven-mcgraw-6650285/   Hope for Harper is still going, help us meet the $15k match! https://syngap.fund/harper  https://givebutter.com/uNxleH   The Juggle is Real Episode 211 of Once Upon A Gene (also seen in episode 41 and 94!) https://effieparks.com/podcast/episode-211-the-juggle-is-real    Give all three of our podcasts 5 stars everywhere.   https://podcasts.apple.com/us/channel/syngap1-podcasts-by-srf/id6464522917    This is a podcast subscribe! https://podcasts.apple.com/us/podcast/syngap10-weekly-10-minute-updates-on-syngap1/id1560389818 Episode 127 of #Syngap10 - December 14, 2023 #epilepsy #autism #intellectualdisability #id #anxiety #raredisease #epilepsyawareness #autismawareness #rarediseaseresearch #SynGAPResearchFund #CareAboutRare #PatientAdvocacy #GCchat #Neurology #GeneChat

Summary Building a data platform that is enjoyable and accessible for all of its end users is a substantial challenge. One of the core complexities that needs to be addressed is the fractal set of integrations that need to be managed across the individual components. In this episode Tobias Macey shares his thoughts on the challenges that he is facing as he prepares to build the next set of architectural layers for his data platform to enable a larger audience to start accessing the data being managed by his team. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. You specify the customer traits, then Profiles runs the joins and computations for you to create complete customer profiles. Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack (https://www.dataengineeringpodcast.com/rudderstack) You shouldn't have to throw away the database to build with fast-changing data. You should be able to keep the familiarity of SQL and the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. With Materialize, you can! It's the only true SQL streaming database built from the ground up to meet the needs of modern data products. Whether it's real-time dashboarding and analytics, personalization and segmentation or automation and alerting, Materialize gives you the ability to work with fresh, correct, and scalable results — all in a familiar SQL interface. Go to dataengineeringpodcast.com/materialize (https://www.dataengineeringpodcast.com/materialize) today to get 2 weeks free! Developing event-driven pipelines is going to be a lot easier - Meet Functions! Memphis functions enable developers and data engineers to build an organizational toolbox of functions to process, transform, and enrich ingested events “on the fly” in a serverless manner using AWS Lambda syntax, without boilerplate, orchestration, error handling, and infrastructure in almost any language, including Go, Python, JS, .NET, Java, SQL, and more. Go to dataengineeringpodcast.com/memphis (https://www.dataengineeringpodcast.com/memphis) today to get started! 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'll be sharing an update on my own journey of building a data platform, with a particular focus on the challenges of tool integration and maintaining a single source of truth Interview Introduction How did you get involved in the area of data management? data sharing weight of history existing integrations with dbt switching cost for e.g. SQLMesh de facto standard of Airflow Single source of truth permissions management across application layers Database engine Storage layer in a lakehouse Presentation/access layer (BI) Data flows dbt -> table level lineage orchestration engine -> pipeline flows task based vs. asset based Metadata platform as the logical place for horizontal view Contact Info LinkedIn (https://linkedin.com/in/tmacey) Website (https://www.dataengineeringpodcast.com) 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. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Monologue Episode On Data Platform Design (https://www.dataengineeringpodcast.com/data-platform-design-episode-268) Monologue Episode On Leaky Abstractions (https://www.dataengineeringpodcast.com/abstractions-and-technical-debt-episode-374) Airbyte (https://airbyte.com/) Podcast Episode (https://www.dataengineeringpodcast.com/airbyte-open-source-data-integration-episode-173/) Trino (https://trino.io/) Dagster (https://dagster.io/) dbt (https://www.getdbt.com/) Snowflake (https://www.snowflake.com/en/) BigQuery (https://cloud.google.com/bigquery) OpenMetadata (https://open-metadata.org/) OpenLineage (https://openlineage.io/) Data Platform Shadow IT Episode (https://www.dataengineeringpodcast.com/shadow-it-data-analytics-episode-121) Preset (https://preset.io/) LightDash (https://www.lightdash.com/) Podcast Episode (https://www.dataengineeringpodcast.com/lightdash-exploratory-business-intelligence-episode-232/) SQLMesh (https://sqlmesh.readthedocs.io/) Podcast Episode (https://www.dataengineeringpodcast.com/sqlmesh-open-source-dataops-episode-380) Airflow (https://airflow.apache.org/) Spark (https://spark.apache.org/) Flink (https://flink.apache.org/) Tabular (https://tabular.io/) Iceberg (https://iceberg.apache.org/) Open Policy Agent (https://www.openpolicyagent.org/) 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/)