The Data Stack Show
Un pódcast de Rudderstack
440 Episodo
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58: Data Federation is No Longer The "F" Word with Scott Gnau of InterSystems
Publicado: 20/10/2021 -
Data Debrief: Can Tools Help Solve Data Quality Organizational Challenges?
Publicado: 15/10/2021 -
57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye
Publicado: 13/10/2021 -
56: Stream Processing and Observability with Jeff Chao of Stripe
Publicado: 6/10/2021 -
55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs
Publicado: 29/9/2021 -
54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel
Publicado: 22/9/2021 -
53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC
Publicado: 15/9/2021 -
52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY
Publicado: 8/9/2021 -
51: Democratizing AI and ML with Tristan Zajonc of Continual
Publicado: 1/9/2021 -
50: From Data Infrastructure to Data Management with Ananth Packkildurai
Publicado: 25/8/2021 -
49: MLops - The Finalization of the Data Stack with Ben Rogojan of Facebook
Publicado: 18/8/2021 -
48: Season Two Recap with Eric Dodds and Kostas Pardalis
Publicado: 11/8/2021 -
47: Taming the Four Dragons of Data with Sven Balnojan of Mercateo Gruppe
Publicado: 4/8/2021 -
46: A New Paradigm in Stream Processing with Arjun Narayan of Materialize
Publicado: 28/7/2021 -
45: Open Source and Attribution with Ophir Prusak of Codesmith
Publicado: 21/7/2021 -
44: Leveraging Data in a Post-Covid World with Ruben Ugarte of Practico Analytics
Publicado: 14/7/2021 -
43: Modern Authentication and User Management with Sokratis Vidros of Clerk.dev
Publicado: 7/7/2021 -
42: Scaling Data Science with Ryan Boyer of Shipt
Publicado: 30/6/2021 -
41: Doing MLOps on Top of Apache Pulsar and Trino with Joshua Odmark of Pandio
Publicado: 23/6/2021 -
40: Graph Processing on Snowflake for Customer Behavioral Analytics
Publicado: 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.
