Monday Morning Data Chat

David Yaffe (Estuary) and John Kutay (Striim) join the show to chat about the state of streaming and change data capture (CDC) in 2024 and beyond. There is a lot to cover and learn in this show.

Estuary: https://estuary.dev/

Striim: https://www.striim.com/

Katharine Jarmul is a AI/ML privacy and security expert, and the author of Practical Data Privacy. She joins us to chat about whether we are solving the "right" problems with AI/ML/data science, exploring what "safe", "responsible", and "ethical" AI means, and much more.

Martin Musiol (Founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys) joins us to chat about all things generative AI, and his new book, "Generative AI: Navigating the Course to the Artificial General Intelligence Future."

Ethan Aaron (CEO of Portable) joins us to chat about whether data is a job or a skill, what's stopping companies from running their analytics out of a Google Sheet, and much more.

Jean-Georges Perrin joins the show to chat about data mesh, data contracts, modern data engineering standards, Bitol (is open standard project with the Linux Foundation), data architecture, and much more. This is a wide-reaching discussion. Enjoy!

Joe Reis and Matt Housley are back for another listener Q&A. They chat about the demise of the Modern Data Stack, architecture, data modeling, AI, and much more.

Our favorite Valentine's Week guest and all around love doctor, Scot Taylor, joins the show to chat about explaining "value" to the business, puppets, and much more.

Michel Tricot (CEO of Airbyte) joins the show to chat about the impact of AI on traditional data practices (e.g. ETL/ELT), building a company, and much more.

Benn Stancil joins the show to chat about 2024 predictions, how GenAI impacts product development, writing, and more.

Please note - there were some Internet problems with Benn's audio once in a while in the talk.

Dave Langer returns to the show to chat about Python in Excel, data science in SMBs without "data scientists", and much more

It's Joe and Matt today, taking listener questions and ranting about whatever's on their minds.

Alex Gallego (founder and CEO of Redpanda) joins the show to chat about the streaming data renaissance, why open formats for tiered storage is the future of data, and much more.

Mike Ferguson (Managing Director, Intelligent Business Strategies, Chairman of Big Data London) joins the show to chat about the top key trends he's seeing in in data management and analytics - GenAI, architecture modernization, FinOps, and much more.

Sarah Nagy (CEO, Seek.ai) joins us to chat about automating analytics with generative AI, the generative AI space in general, and much more.

Dave McComb (Semantic Arts) is a pioneer in the use of knowledge graphs and semantics in data management. He joins to chat about these topics, and much more.

Kai Zenner joins us to chat about all things EU AI Act. If you've wanted to learn about this upcoming piece of critical regulation, tune in.

Nadine Farah joins the show to chat about Apache Hudi's core primitives: indexing, CDC, table services, faster UPSERTs, incremental processing framework, and more.

Yoav Cohen (co-founder & CTO at Satori) joins the show to chat about why data security is hard, strategies companies use to deal with analytics over sensitive data, security and compliance requirements that data teams need to meet, and much more.

Our favorite nerd sniper, Kevin Hu (CEO of Metaplane), joins the show to help us recap some major conferences we attended last week. Lots of data news, gossip, anecdotes, and more.

This is a bit of a different episode, but it's a topic that is long overdue for discussion. Between long hours sitting in front of a monitor, "hustle culture", and prevalent alcohol and drug use, our profession is literally killing us. The negative effects on health and wellness among techies are insane. We've seen our friends go to the ER from stress, diet, and lifestyle-related emergencies. We've lost other friends along the way. Colleen Fotsch is uniquely qualified to discuss this issue. She is used to operating at the highest levels of sports, being an NCAA D1-champion swimmer, multiple-time CrossFit Games athlete and coach, and former US Bobsled team member. She also works as a data analyst and part-time coach for Opex, a leader in fitness education coaching (she's Joe's coach). It's time we wake up and look at how we can improve our health and wellness, and bring our best selves to our work and life. Colleen's IG: https://www.instagram.com/colleenfotsch/?hl=en

Matt Housley and Joe Reis chat about where data engineering is going, and take audience questions.

The data job market is certainly evolving. Matt, Chris, and Joe have a candid chat and AMA about career advice going into 2024.

Amit Prakash (CTO/Co-Founder of Thoughtspot) joins the show to chat about the future of generative AI in data analytics. Thoughtspot has been a leader in searchable analytics, and it will be interesting to get Amit's take on where the field of analytics is heading next.

Aaron Hunsaker joins Matthew Housley and I to chat about data grifters, dealing with vendors, how data people should converse with "the business", and much more. Aaron doesn't hold back.
Enjoy this very candid in-person chat.

Hala Nelson joins the show to chat writing books, teaching math, and much more. It's not often we get three math nerds, professors, and authors in the same conversation, and this is a lot of fun. Enjoy!

David Yaffe and Johnny Graettinger (both from Estuary) join the show to do a deep dive into streaming data processing. We also cover how to scale change data capture (CDC) and where transformations belong in data pipelines.

Estuary: https://estuary.dev/

Gazette: https://gazette.readthedocs.io/en/latest/

Note - Joe's audio was having issues for this episode. Apologies.

Multiple products, versions, platforms, targets technologies, formats, and locales? How do you make sense of the "multiple of multiples" challenge from a technical perspective? The "language of the business" and data in all its structured, semi-structured, and 'unstructured' forms helps drive this home.
John O'Gorman has world-class expertise in language, semantics, and tying this together for the business. We hope you learn something new from this episode.

Brian Olsen joins us again to chat about why Apache Iceberg won the table format war. We also finish our chat from last time about Data Mesh. #dataengineering #datalake #datamesh

David Langer joins the show to chat about how programming languages for data science, BI teams have a unique advantage in helping introduce data science into their organizations.

Devin Petersohn (Modin, Ponder) knows a thing or two about dataframes, having done his PhD thesis on them, among other related achievements. We'll talk about all things dataframes, both high level and in the weeds. If you've ever wanted to learn about dataframes, this is the discussion for you.

Joe Perez ("Dr. Joe") joins the show to chat about the importance of actionable data to inform decision-making. We also discuss the various ways disparate data are brought together into a cohesive data warehouse, and how there should be a finite, measurable, deployable strategy

Colin Zima joins the show to chat about what data modeling should look like in 2023 and beyond. We'll chat about real ETL, semantic layers, the troubles with BI, and much more. #datamodeling #data #dataengineering #analytics

Saket Saurabh joins the show to chat about taking a data product-centric view to reinventing data management. #data #dataproducts #datamanagement #dataengineering

Santona Tuli discusses the product management aspects as a data scientist - product and stakeholder management, due diligence of requirements gathering, and developing a strategy before implementing DS/ML pipelines. You know, the fun stuff ;)

Artyom Keydunov & Pavel Tiunov (co-founders of Cube.dev) join the show to chat about all things semantic layers. Curious about the future of data apps? Then check out this episode. #data #semanticlayer #dataengineering #analytics

Malcolm Hawker joins the show to chat about data product management, generative AI and its impact on data products and the broader data industry, and much more.

#datamesh #dataengineering #dataproducts #data