The Data Stack Show
Podcast autorstwa Rudderstack
440 Odcinki
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58: Data Federation is No Longer The "F" Word with Scott Gnau of InterSystems
Opublikowany: 20.10.2021 -
Data Debrief: Can Tools Help Solve Data Quality Organizational Challenges?
Opublikowany: 15.10.2021 -
57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye
Opublikowany: 13.10.2021 -
56: Stream Processing and Observability with Jeff Chao of Stripe
Opublikowany: 6.10.2021 -
55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs
Opublikowany: 29.09.2021 -
54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel
Opublikowany: 22.09.2021 -
53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC
Opublikowany: 15.09.2021 -
52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY
Opublikowany: 8.09.2021 -
51: Democratizing AI and ML with Tristan Zajonc of Continual
Opublikowany: 1.09.2021 -
50: From Data Infrastructure to Data Management with Ananth Packkildurai
Opublikowany: 25.08.2021 -
49: MLops - The Finalization of the Data Stack with Ben Rogojan of Facebook
Opublikowany: 18.08.2021 -
48: Season Two Recap with Eric Dodds and Kostas Pardalis
Opublikowany: 11.08.2021 -
47: Taming the Four Dragons of Data with Sven Balnojan of Mercateo Gruppe
Opublikowany: 4.08.2021 -
46: A New Paradigm in Stream Processing with Arjun Narayan of Materialize
Opublikowany: 28.07.2021 -
45: Open Source and Attribution with Ophir Prusak of Codesmith
Opublikowany: 21.07.2021 -
44: Leveraging Data in a Post-Covid World with Ruben Ugarte of Practico Analytics
Opublikowany: 14.07.2021 -
43: Modern Authentication and User Management with Sokratis Vidros of Clerk.dev
Opublikowany: 7.07.2021 -
42: Scaling Data Science with Ryan Boyer of Shipt
Opublikowany: 30.06.2021 -
41: Doing MLOps on Top of Apache Pulsar and Trino with Joshua Odmark of Pandio
Opublikowany: 23.06.2021 -
40: Graph Processing on Snowflake for Customer Behavioral Analytics
Opublikowany: 16.06.2021
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.
