Open||Source||Data

96 Épisodes

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

   Publié: 04/05/2022
2. Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia

   Publié: 27/04/2022
3. Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin

   Publié: 20/04/2022
4. Deep Fakes, Responsible Data Science, and Trust with David Danks

   Publié: 13/04/2022
5. Cloud Innovation, Analytics, and Data Transformation with Monica Kumar

   Publié: 30/03/2022
6. Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran

   Publié: 16/03/2022
7. Interoperability, Governance, and Divergent Teams with Prukalpa Sankar

   Publié: 02/03/2022
8. Trust, Automation, and Trade-Offs with Joseph Jacks

   Publié: 16/02/2022
9. Open Source, Adoptability, and Name Changes with Martin Traverso

   Publié: 02/02/2022
10. Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro

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

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

    Publié: 30/09/2021
13. Metadata, Communities, and Architecture with Shirshanka Das

    Publié: 16/09/2021
14. Data Management Pain Points and Future Solutions for Data Discovery

    Publié: 02/09/2021
15. ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova

    Publié: 19/08/2021
16. Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel

    Publié: 05/08/2021
17. MLOps, AIOps, and Data Startups with Jocelyn Goldfein

    Publié: 22/07/2021
18. Git-Like Branch and Merge for Data with Einat Orr

    Publié: 08/07/2021
19. Data Discoverability, Products, and User Diversity with Shinji Kim

    Publié: 24/06/2021
20. Data Observability, Customer-Led Growth, and Confidence with Barr Moses

    Publié: 10/06/2021