MAD Data: An ML, AI, and Data Podcast by Databand

31 Episoade

1. The Impacts Of Generative AI For Data Integration

   Publicat: 08.06.2023
2. All Things Airflow: Past, Present And Future

   Publicat: 23.03.2023
3. Data Quality Through The Lens Of An Analytics Engineer

   Publicat: 24.02.2023
4. The Future Of Data Fabric And Data Integration

   Publicat: 07.12.2022
5. How To Reduce Data System Complexities

   Publicat: 09.11.2022
6. How Incident Management Supplements Data Governance

   Publicat: 17.10.2022
7. How Engineering Can Deliver Better Value For Data Science

   Publicat: 16.09.2022
8. Lessons Learned Building World-Class Data Engineering Teams

   Publicat: 11.08.2022
9. The Case for Dataset Centric Visualization

   Publicat: 27.07.2022
10. Unveiling The IBM Acquisition Of Databand

    Publicat: 20.07.2022
11. Two Philadelphians Talk Data Startups And Building An Analytics Community

    Publicat: 22.06.2022
12. How Warby Parker Builds Repeatable Data Engineering Playbooks

    Publicat: 10.06.2022
13. How Pinterest Is Migrating To The Modern Data Cloud With Confidence

    Publicat: 25.05.2022
14. How To Avoid The Vortex Of Data Debt

    Publicat: 11.05.2022
15. How To Treat Data As A Product

    Publicat: 27.04.2022
16. Lights On Your Dark Data Quality Issues

    Publicat: 13.04.2022
17. Clean Data At The Source: When & Why This Matters To Your Business

    Publicat: 28.03.2022
18. Next Gen Data Demands: Real-Time Alerting & Complex Data Ingestion

    Publicat: 17.03.2022
19. The Case For Data Catalogs: Are Your Teams On The Same Page?

    Publicat: 23.02.2022
20. Where Should Data Quality Sit? It Depends.

    Publicat: 09.02.2022