The Data Engineering Show

42 Episodes

1. AI and Data Movement: Trends and Best Practices with Estuary’s Daniel Pálma

   Published: 2/11/2025
2. AI and Data Change Management with Chad Sanderson, CEO Gable AI

   Published: 1/7/2025
3. Tech Stacks and Tradeoffs: Xudo's Founder on Picking the Right Tools for BI Success

   Published: 11/26/2024
4. Data Rewind: Conversation Highlights from Zach Wilson, Matthew Housley, Joe Reis, and Krishnan Viswanathan

   Published: 10/31/2024
5. The Resurgence of SQL: Insights from Ryanne Dolan from LinkedIn

   Published: 9/24/2024
6. Vector Databases Won’t Replace SQL - Andy Pavlo

   Published: 6/4/2024
7. How ZoomInfo transitioned from data graveyards to ROI-driven data projects

   Published: 4/16/2024
8. Matthew Weingarten from Disney Streaming about Data Quality Best Practices

   Published: 3/26/2024
9. Joseph Machado, Senior Data Engineer @ LinkedIn talks best practices

   Published: 2/29/2024
10. Professors Joe Hellerstein and Joseph Gonzalez on LLMs

    Published: 1/24/2024
11. Megan Lieu on powerful notebooks that enable collaboration

    Published: 1/1/2024
12. Transitioning from software engineering to data engineering

    Published: 11/22/2023
13. Vin Vashishta explains why we should stop using dashboards

    Published: 10/4/2023
14. Joe Reis and Matt Housley on the fundamentals of data engineering

    Published: 9/6/2023
15. Bill Inmon, the Godfather of Data Warehousing

    Published: 8/8/2023
16. Large-scale data engineering at Momentive.ai - Meenal Iyer

    Published: 7/12/2023
17. Data engineering from the early 2000s till today - BlackRock

    Published: 6/8/2023
18. Zach Wilson on what makes a great data engineer

    Published: 4/27/2023
19. How ZipRecruiter and Yotpo power self-service data platforms that work

    Published: 3/23/2023
20. Data Observability with Millions of Users - Barr Moses

    Published: 2/8/2023