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