The Data Stack Show
A podcast by Rudderstack
440 Episoade
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58: Data Federation is No Longer The "F" Word with Scott Gnau of InterSystems
Publicat: 20.10.2021 -
Data Debrief: Can Tools Help Solve Data Quality Organizational Challenges?
Publicat: 15.10.2021 -
57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye
Publicat: 13.10.2021 -
56: Stream Processing and Observability with Jeff Chao of Stripe
Publicat: 06.10.2021 -
55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs
Publicat: 29.09.2021 -
54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel
Publicat: 22.09.2021 -
53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC
Publicat: 15.09.2021 -
52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY
Publicat: 08.09.2021 -
51: Democratizing AI and ML with Tristan Zajonc of Continual
Publicat: 01.09.2021 -
50: From Data Infrastructure to Data Management with Ananth Packkildurai
Publicat: 25.08.2021 -
49: MLops - The Finalization of the Data Stack with Ben Rogojan of Facebook
Publicat: 18.08.2021 -
48: Season Two Recap with Eric Dodds and Kostas Pardalis
Publicat: 11.08.2021 -
47: Taming the Four Dragons of Data with Sven Balnojan of Mercateo Gruppe
Publicat: 04.08.2021 -
46: A New Paradigm in Stream Processing with Arjun Narayan of Materialize
Publicat: 28.07.2021 -
45: Open Source and Attribution with Ophir Prusak of Codesmith
Publicat: 21.07.2021 -
44: Leveraging Data in a Post-Covid World with Ruben Ugarte of Practico Analytics
Publicat: 14.07.2021 -
43: Modern Authentication and User Management with Sokratis Vidros of Clerk.dev
Publicat: 07.07.2021 -
42: Scaling Data Science with Ryan Boyer of Shipt
Publicat: 30.06.2021 -
41: Doing MLOps on Top of Apache Pulsar and Trino with Joshua Odmark of Pandio
Publicat: 23.06.2021 -
40: Graph Processing on Snowflake for Customer Behavioral Analytics
Publicat: 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.
