The Data Stack Show
En podcast av Rudderstack
440 Avsnitt
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58: Data Federation is No Longer The "F" Word with Scott Gnau of InterSystems
Publicerades: 2021-10-20 -
Data Debrief: Can Tools Help Solve Data Quality Organizational Challenges?
Publicerades: 2021-10-15 -
57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye
Publicerades: 2021-10-13 -
56: Stream Processing and Observability with Jeff Chao of Stripe
Publicerades: 2021-10-06 -
55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs
Publicerades: 2021-09-29 -
54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel
Publicerades: 2021-09-22 -
53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC
Publicerades: 2021-09-15 -
52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY
Publicerades: 2021-09-08 -
51: Democratizing AI and ML with Tristan Zajonc of Continual
Publicerades: 2021-09-01 -
50: From Data Infrastructure to Data Management with Ananth Packkildurai
Publicerades: 2021-08-25 -
49: MLops - The Finalization of the Data Stack with Ben Rogojan of Facebook
Publicerades: 2021-08-18 -
48: Season Two Recap with Eric Dodds and Kostas Pardalis
Publicerades: 2021-08-11 -
47: Taming the Four Dragons of Data with Sven Balnojan of Mercateo Gruppe
Publicerades: 2021-08-04 -
46: A New Paradigm in Stream Processing with Arjun Narayan of Materialize
Publicerades: 2021-07-28 -
45: Open Source and Attribution with Ophir Prusak of Codesmith
Publicerades: 2021-07-21 -
44: Leveraging Data in a Post-Covid World with Ruben Ugarte of Practico Analytics
Publicerades: 2021-07-14 -
43: Modern Authentication and User Management with Sokratis Vidros of Clerk.dev
Publicerades: 2021-07-07 -
42: Scaling Data Science with Ryan Boyer of Shipt
Publicerades: 2021-06-30 -
41: Doing MLOps on Top of Apache Pulsar and Trino with Joshua Odmark of Pandio
Publicerades: 2021-06-23 -
40: Graph Processing on Snowflake for Customer Behavioral Analytics
Publicerades: 2021-06-16
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.