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