The Data Stack Show

392 Episodo

1. 84: Why Are Analytics Still So Hard? With Kaycee Lai of Promethium

   Publicado: 20/4/2022
2. The PRQL: Does Putting All Your Data in One Place Create More Problems Than it Solves?

   Publicado: 15/4/2022
3. 83: Closing the Gap Between Business Analytics and Operational Analytics With Max Beauchemin of Preset

   Publicado: 13/4/2022
4. The PRQL: BI, Real-Time, and Data Tooling

   Publicado: 8/4/2022
5. 82: Databases: The Fun Never Stops with Robert Hodges of Altinity

   Publicado: 6/4/2022
6. The PRQL: What Inspires Continued Innovation in Databases?

   Publicado: 1/4/2022
7. 81: Digging into Data Ops with Prukalpa Sankar of Atlan

   Publicado: 30/3/2022
8. The PRQL: Data Team Diversity & Maturing Data Ops

   Publicado: 25/3/2022
9. 80: Is Reverse-ETL Just Another Data Pipeline? With Census, Hightouch, & Workato

   Publicado: 23/3/2022
10. The PRQL: Is Reverse ETL New or Old?

    Publicado: 18/3/2022
11. 79: All About Experimentation with Che Sharma of Eppo

    Publicado: 16/3/2022
12. The PRQL: Is A/B Testing Only Relevant for B2C?

    Publicado: 11/3/2022
13. 78: The Etymology of Reverse ETL & Why It’s a Key Piece Of The Modern Data Stack with Boris Jabes of Census

    Publicado: 9/3/2022
14. The PRQL: Reverse ETL and the Distinction Between Operation vs Analysis on Data

    Publicado: 4/3/2022
15. 77: Standardizing Unstructured Data with Verl Allen of Claravine

    Publicado: 2/3/2022
16. The PRQL: If Everything Is Data, How Can We Make Sense of It All?

    Publicado: 25/2/2022
17. 76: Why a Data Team Should Limit Its Own Superpowers with Sean Halliburton of CNN

    Publicado: 23/2/2022
18. The PRQL: How Important Is the Human Factor When Working With Data?

    Publicado: 18/2/2022
19. 75: How To Become a Data Engineer with Parham Parvizi of the Data Stack Academy

    Publicado: 16/2/2022
20. The PRQL: Can We Define the Role of the Data Engineer (Yet)?

    Publicado: 11/2/2022