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