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

31 Episodes

1. The Impacts Of Generative AI For Data Integration

   Published: 6/8/2023
2. All Things Airflow: Past, Present And Future

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

   Published: 2/24/2023
4. The Future Of Data Fabric And Data Integration

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

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

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

   Published: 9/16/2022
8. Lessons Learned Building World-Class Data Engineering Teams

   Published: 8/11/2022
9. The Case for Dataset Centric Visualization

   Published: 7/27/2022
10. Unveiling The IBM Acquisition Of Databand

    Published: 7/20/2022
11. Two Philadelphians Talk Data Startups And Building An Analytics Community

    Published: 6/22/2022
12. How Warby Parker Builds Repeatable Data Engineering Playbooks

    Published: 6/10/2022
13. How Pinterest Is Migrating To The Modern Data Cloud With Confidence

    Published: 5/25/2022
14. How To Avoid The Vortex Of Data Debt

    Published: 5/11/2022
15. How To Treat Data As A Product

    Published: 4/27/2022
16. Lights On Your Dark Data Quality Issues

    Published: 4/13/2022
17. Clean Data At The Source: When & Why This Matters To Your Business

    Published: 3/28/2022
18. Next Gen Data Demands: Real-Time Alerting & Complex Data Ingestion

    Published: 3/17/2022
19. The Case For Data Catalogs: Are Your Teams On The Same Page?

    Published: 2/23/2022
20. Where Should Data Quality Sit? It Depends.

    Published: 2/9/2022