Monday Morning Data Chat

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 #datacontracts #dataengineering,"

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. #data

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, an expert in data modeling and data engineering, chats about data modeling in 2023 and beyond, covering topics such as real ETL, semantic layers, and the challenges in business intelligence.

Saket Saurabh, Co-founder and CEO of Nexler, brings his expertise in data products and management to the discussion. He emphasizes the importance of a user-friendly approach to data accessibility, moving beyond traditional infrastructures. Saket shares insights into the evolution of data products, highlighting their integration across cloud platforms. The conversation delves into the complexities of API management and the role of large language models in transforming data practices. Finally, he teases upcoming industry events that will foster collaboration and networking.

Debate between big and small data in 2023. Exploration of AI and ML, massive LLMs vs. small data alternatives. Will Big Data reign supreme or will small data become more popular?

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 ;)

Brian Olsen joins the show to chat about data virtualization. Does it put the heat on vendors that want to lock you in with proprietary storage? Will virtualization and federation enable data mesh, allowing you to move your data at will? Tune in and learn more! #datamesh #dataengineering #data