Open||Source||Data

96 Episodes

1. Data Meshes, Fabrics, and Discovery with Zhamak Dehghani, David Thomas, and Shirshanka Das

   Published: 5/4/2022
2. Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia

   Published: 4/27/2022
3. Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin

   Published: 4/20/2022
4. Deep Fakes, Responsible Data Science, and Trust with David Danks

   Published: 4/13/2022
5. Cloud Innovation, Analytics, and Data Transformation with Monica Kumar

   Published: 3/30/2022
6. Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran

   Published: 3/16/2022
7. Interoperability, Governance, and Divergent Teams with Prukalpa Sankar

   Published: 3/2/2022
8. Trust, Automation, and Trade-Offs with Joseph Jacks

   Published: 2/16/2022
9. Open Source, Adoptability, and Name Changes with Martin Traverso

   Published: 2/2/2022
10. Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro

    Published: 10/29/2021
11. Embeddings, Feature stores, and MLOps with Simba Khadder

    Published: 10/14/2021
12. Abundance, Metadata, and Automation with Mark Grover

    Published: 9/30/2021
13. Metadata, Communities, and Architecture with Shirshanka Das

    Published: 9/16/2021
14. Data Management Pain Points and Future Solutions for Data Discovery

    Published: 9/2/2021
15. ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova

    Published: 8/19/2021
16. Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel

    Published: 8/5/2021
17. MLOps, AIOps, and Data Startups with Jocelyn Goldfein

    Published: 7/22/2021
18. Git-Like Branch and Merge for Data with Einat Orr

    Published: 7/8/2021
19. Data Discoverability, Products, and User Diversity with Shinji Kim

    Published: 6/24/2021
20. Data Observability, Customer-Led Growth, and Confidence with Barr Moses

    Published: 6/10/2021