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

31 Episodes

1. The Impacts Of Generative AI For Data Integration

   Published: 8/06/2023
2. All Things Airflow: Past, Present And Future

   Published: 23/03/2023
3. Data Quality Through The Lens Of An Analytics Engineer

   Published: 24/02/2023
4. The Future Of Data Fabric And Data Integration

   Published: 7/12/2022
5. How To Reduce Data System Complexities

   Published: 9/11/2022
6. How Incident Management Supplements Data Governance

   Published: 17/10/2022
7. How Engineering Can Deliver Better Value For Data Science

   Published: 16/09/2022
8. Lessons Learned Building World-Class Data Engineering Teams

   Published: 11/08/2022
9. The Case for Dataset Centric Visualization

   Published: 27/07/2022
10. Unveiling The IBM Acquisition Of Databand

    Published: 20/07/2022
11. Two Philadelphians Talk Data Startups And Building An Analytics Community

    Published: 22/06/2022
12. How Warby Parker Builds Repeatable Data Engineering Playbooks

    Published: 10/06/2022
13. How Pinterest Is Migrating To The Modern Data Cloud With Confidence

    Published: 25/05/2022
14. How To Avoid The Vortex Of Data Debt

    Published: 11/05/2022
15. How To Treat Data As A Product

    Published: 27/04/2022
16. Lights On Your Dark Data Quality Issues

    Published: 13/04/2022
17. Clean Data At The Source: When & Why This Matters To Your Business

    Published: 28/03/2022
18. Next Gen Data Demands: Real-Time Alerting & Complex Data Ingestion

    Published: 17/03/2022
19. The Case For Data Catalogs: Are Your Teams On The Same Page?

    Published: 23/02/2022
20. Where Should Data Quality Sit? It Depends.

    Published: 9/02/2022