440 Episodes

  1. 68: Season Three Recap: Holiday Edition with Eric Dodds and Kostas Pardalis

    Published: 12/29/2021
  2. 67: Now is the Time to Think About Data Quality with Manu Bansal of Lightup Data

    Published: 12/22/2021
  3. The PRQL: Will Data Quality Always Require a Human in the Loop?

    Published: 12/21/2021
  4. 66: How Data Infrastructure Has Evolved and Managing High Performing Data Teams with Srivatsan Sridharan

    Published: 12/15/2021
  5. The PRQL: How Would You Define a Data Pipeline? Featuring the RudderStack Eng. Team

    Published: 12/10/2021
  6. 65: Operationalizing Data from the Warehouse With Aayush Jain of Cliff.ai

    Published: 12/8/2021
  7. The PRQL: Why is the Data Engineer's Role Expanding?

    Published: 12/3/2021
  8. 64: Data Stack Composability and Commoditization with Michel Tricot of Airbyte

    Published: 12/1/2021
  9. The PRQL: The Beauty of Commoditization

    Published: 11/26/2021
  10. 63: The ETL - ELT Flip With Ciaran Dynes of Matillion

    Published: 11/24/2021
  11. The PRQL: What Part of the Data Stack Will Be Commoditized Next?

    Published: 11/19/2021
  12. 62: The Internet of Everything with Rob Rastovich of ThingLogix

    Published: 11/17/2021
  13. The PRQL: Are you afraid of IOT?

    Published: 11/12/2021
  14. 61: What is Data Design? With Kevin Gervais of Touchless

    Published: 11/10/2021
  15. The PRQL: Will we ever get rid of the CSV?

    Published: 11/8/2021
  16. Data Debrief: The Highs and Lows of Open Source Projects

    Published: 11/5/2021
  17. 60: Architecting a Boring Stream Processing Tool With Ashley Jeffs of Benthos

    Published: 11/3/2021
  18. Data Debrief: What Open Source Data Projects Have Come Out of Facebook, Whoops, *Meta?

    Published: 10/29/2021
  19. 59: Making ETL Optional with Justin Borgman of Starburst Data

    Published: 10/27/2021
  20. Data Debrief: Will Enterprise Build The Future of Data Tooling?

    Published: 10/22/2021

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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.