Open||Source||Data

96 Episoder

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

   Udgivet: 4.5.2022
2. Investing in Communities, Differentiating, and Trusting Your Gut with Erica Brescia

   Udgivet: 27.4.2022
3. Data on Kubernetes with Kelsey Hightower, Lachlan Evenson, and Patrick McFadin

   Udgivet: 20.4.2022
4. Deep Fakes, Responsible Data Science, and Trust with David Danks

   Udgivet: 13.4.2022
5. Cloud Innovation, Analytics, and Data Transformation with Monica Kumar

   Udgivet: 30.3.2022
6. Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran

   Udgivet: 16.3.2022
7. Interoperability, Governance, and Divergent Teams with Prukalpa Sankar

   Udgivet: 2.3.2022
8. Trust, Automation, and Trade-Offs with Joseph Jacks

   Udgivet: 16.2.2022
9. Open Source, Adoptability, and Name Changes with Martin Traverso

   Udgivet: 2.2.2022
10. Season Two Finale and Recap with Open||Source||Data Producer Audra Montenegro

    Udgivet: 29.10.2021
11. Embeddings, Feature stores, and MLOps with Simba Khadder

    Udgivet: 14.10.2021
12. Abundance, Metadata, and Automation with Mark Grover

    Udgivet: 30.9.2021
13. Metadata, Communities, and Architecture with Shirshanka Das

    Udgivet: 16.9.2021
14. Data Management Pain Points and Future Solutions for Data Discovery

    Udgivet: 2.9.2021
15. ModelOps, ML Monitoring, and Busy Humans with Elena Samuylova

    Udgivet: 19.8.2021
16. Cloud-Native, Open-Source, and Collaborative with Eric Brewer and Melody Meckfessel

    Udgivet: 5.8.2021
17. MLOps, AIOps, and Data Startups with Jocelyn Goldfein

    Udgivet: 22.7.2021
18. Git-Like Branch and Merge for Data with Einat Orr

    Udgivet: 8.7.2021
19. Data Discoverability, Products, and User Diversity with Shinji Kim

    Udgivet: 24.6.2021
20. Data Observability, Customer-Led Growth, and Confidence with Barr Moses

    Udgivet: 10.6.2021