The Data Stack Show
En podkast av Rudderstack
440 Episoder
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58: Data Federation is No Longer The "F" Word with Scott Gnau of InterSystems
Publisert: 20.10.2021 -
Data Debrief: Can Tools Help Solve Data Quality Organizational Challenges?
Publisert: 15.10.2021 -
57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye
Publisert: 13.10.2021 -
56: Stream Processing and Observability with Jeff Chao of Stripe
Publisert: 6.10.2021 -
55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs
Publisert: 29.9.2021 -
54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel
Publisert: 22.9.2021 -
53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC
Publisert: 15.9.2021 -
52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY
Publisert: 8.9.2021 -
51: Democratizing AI and ML with Tristan Zajonc of Continual
Publisert: 1.9.2021 -
50: From Data Infrastructure to Data Management with Ananth Packkildurai
Publisert: 25.8.2021 -
49: MLops - The Finalization of the Data Stack with Ben Rogojan of Facebook
Publisert: 18.8.2021 -
48: Season Two Recap with Eric Dodds and Kostas Pardalis
Publisert: 11.8.2021 -
47: Taming the Four Dragons of Data with Sven Balnojan of Mercateo Gruppe
Publisert: 4.8.2021 -
46: A New Paradigm in Stream Processing with Arjun Narayan of Materialize
Publisert: 28.7.2021 -
45: Open Source and Attribution with Ophir Prusak of Codesmith
Publisert: 21.7.2021 -
44: Leveraging Data in a Post-Covid World with Ruben Ugarte of Practico Analytics
Publisert: 14.7.2021 -
43: Modern Authentication and User Management with Sokratis Vidros of Clerk.dev
Publisert: 7.7.2021 -
42: Scaling Data Science with Ryan Boyer of Shipt
Publisert: 30.6.2021 -
41: Doing MLOps on Top of Apache Pulsar and Trino with Joshua Odmark of Pandio
Publisert: 23.6.2021 -
40: Graph Processing on Snowflake for Customer Behavioral Analytics
Publisert: 16.6.2021
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.
