Data Engineering Podcast
1) data.world with Bryon Jacob - Episode 9
Summary We have tools and platforms for collaborating on software projects and linking them together, wouldn’t it be nice to have the same capabilities for data? The team at data.world are work...Show More
2) Beyond Dashboards: How Data Teams Earn a Seat at the Table
Summary In this episode Goutham Budati about his Data–Perspective–Action framework and how it empowers data teams to become true business partners. Gautham traces his path from automating Excel r...Show More
3) Unfreezing The Data Lake: The Future-Proof File Format
Summary In this episode PhD researcher Xinyu Zheng talks about F3, the “future-proof file format” designed to address today’s hardware realities and evolving workloads. He digs into the limitatio...Show More
4) From Context to Semantics: How Metadata Powers Agentic AI
Summary In this episode Suresh Srinivas and Sriharsha Chintalapani explore how metadata platforms are evolving from human-centric catalogs into the foundational context layer for AI and agentic s...Show More
5) From Data Engineering to AI Engineering: Where the Lines Blur
Summary In this solo episode of the Data Engineering Podcast, host Tobias Macey reflects on how AI has transformed the practice and pace of data engineering over time. Starting from its origins i...Show More
6) Malloy: Hierarchical Data, Semantic Models, and the Future of Analytics
Summary In this episode Michael Toy, co-creator of Malloy, talks about rethinking how we work with data beyond SQL. Michael shares the origins of Malloy from his and Lloyd Tabb’s experience at Lo...Show More
7) Blurring Lines: Data, AI, and the New Playbook for Team Velocity
SummaryIn this crossover episode, Max Beauchemin explores how multiplayer, multi‑agent engineering is transforming the way individuals and teams build data and AI systems. He digs into the shifting bo...Show More
8) State, Scale, and Signals: Rethinking Orchestration with Durable Execution
Summary In this episode Preeti Somal, EVP of Engineering at Temporal, talks about the durable execution model and how it reshapes the way teams build reliable, stateful systems for data and AI. S...Show More
State, Scale, and Signals: Rethinking Orchestration with Durable Execution
51:46 | Nov 16th, 2025
9) The AI Data Paradox: High Trust in Models, Low Trust in Data
SummaryIn this episode of the Data Engineering Podcast Ariel Pohoryles, head of product marketing for Boomi's data management offerings, talks about a recent survey of 300 data leaders on how organiza...Show More
10) Bridging the AI–Data Gap: Collect, Curate, Serve
SummaryIn this episode of the Data Engineering Podcast Omri Lifshitz (CTO) and Ido Bronstein (CEO) of Upriver talk about the growing gap between AI's demand for high-quality data and organizations' cu...Show More