440 Episodes

  1. 58: Data Federation is No Longer The "F" Word with Scott Gnau of InterSystems

    Published: 10/20/2021

  2. Data Debrief: Can Tools Help Solve Data Quality Organizational Challenges?

    Published: 10/15/2021

  3. 57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye

    Published: 10/13/2021

  4. 56: Stream Processing and Observability with Jeff Chao of Stripe

    Published: 10/6/2021

  5. 55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs

    Published: 9/29/2021

  6. 54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel

    Published: 9/22/2021

  7. 53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC

    Published: 9/15/2021

  8. 52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY

    Published: 9/8/2021

  9. 51: Democratizing AI and ML with Tristan Zajonc of Continual

    Published: 9/1/2021

  10. 50: From Data Infrastructure to Data Management with Ananth Packkildurai

    Published: 8/25/2021

  11. 49: MLops - The Finalization of the Data Stack with Ben Rogojan of Facebook

    Published: 8/18/2021

  12. 48: Season Two Recap with Eric Dodds and Kostas Pardalis

    Published: 8/11/2021

  13. 47: Taming the Four Dragons of Data with Sven Balnojan of Mercateo Gruppe

    Published: 8/4/2021

  14. 46: A New Paradigm in Stream Processing with Arjun Narayan of Materialize

    Published: 7/28/2021

  15. 45: Open Source and Attribution with Ophir Prusak of Codesmith

    Published: 7/21/2021

  16. 44: Leveraging Data in a Post-Covid World with Ruben Ugarte of Practico Analytics

    Published: 7/14/2021

  17. 43: Modern Authentication and User Management with Sokratis Vidros of Clerk.dev

    Published: 7/7/2021

  18. 42: Scaling Data Science with Ryan Boyer of Shipt

    Published: 6/30/2021

  19. 41: Doing MLOps on Top of Apache Pulsar and Trino with Joshua Odmark of Pandio

    Published: 6/23/2021

  20. 40: Graph Processing on Snowflake for Customer Behavioral Analytics

    Published: 6/16/2021

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Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.