The Data Stack Show

392 Episoder

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

   Udgivet: 20.4.2022
2. The PRQL: Does Putting All Your Data in One Place Create More Problems Than it Solves?

   Udgivet: 15.4.2022
3. 83: Closing the Gap Between Business Analytics and Operational Analytics With Max Beauchemin of Preset

   Udgivet: 13.4.2022
4. The PRQL: BI, Real-Time, and Data Tooling

   Udgivet: 8.4.2022
5. 82: Databases: The Fun Never Stops with Robert Hodges of Altinity

   Udgivet: 6.4.2022
6. The PRQL: What Inspires Continued Innovation in Databases?

   Udgivet: 1.4.2022
7. 81: Digging into Data Ops with Prukalpa Sankar of Atlan

   Udgivet: 30.3.2022
8. The PRQL: Data Team Diversity & Maturing Data Ops

   Udgivet: 25.3.2022
9. 80: Is Reverse-ETL Just Another Data Pipeline? With Census, Hightouch, & Workato

   Udgivet: 23.3.2022
10. The PRQL: Is Reverse ETL New or Old?

    Udgivet: 18.3.2022
11. 79: All About Experimentation with Che Sharma of Eppo

    Udgivet: 16.3.2022
12. The PRQL: Is A/B Testing Only Relevant for B2C?

    Udgivet: 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

    Udgivet: 9.3.2022
14. The PRQL: Reverse ETL and the Distinction Between Operation vs Analysis on Data

    Udgivet: 4.3.2022
15. 77: Standardizing Unstructured Data with Verl Allen of Claravine

    Udgivet: 2.3.2022
16. The PRQL: If Everything Is Data, How Can We Make Sense of It All?

    Udgivet: 25.2.2022
17. 76: Why a Data Team Should Limit Its Own Superpowers with Sean Halliburton of CNN

    Udgivet: 23.2.2022
18. The PRQL: How Important Is the Human Factor When Working With Data?

    Udgivet: 18.2.2022
19. 75: How To Become a Data Engineer with Parham Parvizi of the Data Stack Academy

    Udgivet: 16.2.2022
20. The PRQL: Can We Define the Role of the Data Engineer (Yet)?

    Udgivet: 11.2.2022