The Data Stack Show
Podcast készítő Rudderstack

Kategóriák:
440 Epizód
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58: Data Federation is No Longer The "F" Word with Scott Gnau of InterSystems
Közzétéve: 2021. 10. 20. -
Data Debrief: Can Tools Help Solve Data Quality Organizational Challenges?
Közzétéve: 2021. 10. 15. -
57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye
Közzétéve: 2021. 10. 13. -
56: Stream Processing and Observability with Jeff Chao of Stripe
Közzétéve: 2021. 10. 06. -
55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs
Közzétéve: 2021. 09. 29. -
54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel
Közzétéve: 2021. 09. 22. -
53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC
Közzétéve: 2021. 09. 15. -
52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY
Közzétéve: 2021. 09. 08. -
51: Democratizing AI and ML with Tristan Zajonc of Continual
Közzétéve: 2021. 09. 01. -
50: From Data Infrastructure to Data Management with Ananth Packkildurai
Közzétéve: 2021. 08. 25. -
49: MLops - The Finalization of the Data Stack with Ben Rogojan of Facebook
Közzétéve: 2021. 08. 18. -
48: Season Two Recap with Eric Dodds and Kostas Pardalis
Közzétéve: 2021. 08. 11. -
47: Taming the Four Dragons of Data with Sven Balnojan of Mercateo Gruppe
Közzétéve: 2021. 08. 04. -
46: A New Paradigm in Stream Processing with Arjun Narayan of Materialize
Közzétéve: 2021. 07. 28. -
45: Open Source and Attribution with Ophir Prusak of Codesmith
Közzétéve: 2021. 07. 21. -
44: Leveraging Data in a Post-Covid World with Ruben Ugarte of Practico Analytics
Közzétéve: 2021. 07. 14. -
43: Modern Authentication and User Management with Sokratis Vidros of Clerk.dev
Közzétéve: 2021. 07. 07. -
42: Scaling Data Science with Ryan Boyer of Shipt
Közzétéve: 2021. 06. 30. -
41: Doing MLOps on Top of Apache Pulsar and Trino with Joshua Odmark of Pandio
Közzétéve: 2021. 06. 23. -
40: Graph Processing on Snowflake for Customer Behavioral Analytics
Közzétéve: 2021. 06. 16.
Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.