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

31 Episoder

1. The Impacts Of Generative AI For Data Integration

   Udgivet: 8.6.2023
2. All Things Airflow: Past, Present And Future

   Udgivet: 23.3.2023
3. Data Quality Through The Lens Of An Analytics Engineer

   Udgivet: 24.2.2023
4. The Future Of Data Fabric And Data Integration

   Udgivet: 7.12.2022
5. How To Reduce Data System Complexities

   Udgivet: 9.11.2022
6. How Incident Management Supplements Data Governance

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

   Udgivet: 16.9.2022
8. Lessons Learned Building World-Class Data Engineering Teams

   Udgivet: 11.8.2022
9. The Case for Dataset Centric Visualization

   Udgivet: 27.7.2022
10. Unveiling The IBM Acquisition Of Databand

    Udgivet: 20.7.2022
11. Two Philadelphians Talk Data Startups And Building An Analytics Community

    Udgivet: 22.6.2022
12. How Warby Parker Builds Repeatable Data Engineering Playbooks

    Udgivet: 10.6.2022
13. How Pinterest Is Migrating To The Modern Data Cloud With Confidence

    Udgivet: 25.5.2022
14. How To Avoid The Vortex Of Data Debt

    Udgivet: 11.5.2022
15. How To Treat Data As A Product

    Udgivet: 27.4.2022
16. Lights On Your Dark Data Quality Issues

    Udgivet: 13.4.2022
17. Clean Data At The Source: When & Why This Matters To Your Business

    Udgivet: 28.3.2022
18. Next Gen Data Demands: Real-Time Alerting & Complex Data Ingestion

    Udgivet: 17.3.2022
19. The Case For Data Catalogs: Are Your Teams On The Same Page?

    Udgivet: 23.2.2022
20. Where Should Data Quality Sit? It Depends.

    Udgivet: 9.2.2022