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.

Andreas Welsch (Chief AI Strategist, Host of the Intelligence Briefing) joins the show to discuss the change management required to succeed with Generative AI in today's business world, prompt engineering, and more.

Data contracts are all the rage right now. Andrew Jones originated the term "data contracts", so who better to chat with? We discuss data contracts - how they originated, how they were implemented, what they are, and why you should care.

Data collaboration is hard. Andrew Padilla chats about how to effectively address data collaboration at a common level across your organization, then apply the relevant parts to your internal orgs.

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.

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

There's a lot of debate on big and small data. For systems and compute, some say "Big Data is Dead", while others challenge this notion. In AI and ML, big tech companies can pour tons of money and data into building massive LLMs, while open source provides compelling "small data" alternatives to the LLM walled gardens.
So which is it? Will Big Data reign supreme or will small data become more popular? Matt and I riff on these topics and more.
#data #dataengineering #chatgpt #ai #bigdata

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 ;)