The Data Stack Show
Un pódcast de Rudderstack
Categorías:
392 Episodo
-
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 -
39: Diving deeper into CDC with Ali Hamidi and Taron Foxworth of Meroxa
Publicado: 11/6/2021 -
38: Graph Databases & Data Governance with David Allen of Neo4j
Publicado: 2/6/2021 -
37: The Components of Data Governance with Dave Melillo of FanDuel
Publicado: 26/5/2021 -
36: Crypto and Compliance with Nick Fogle, Co-Founder of Churnkey and Wavve
Publicado: 19/5/2021 -
35: The Future of Development is Distributed with Jim Walker of Cockroach Labs
Publicado: 12/5/2021 -
34: The Intersection of Data Engineering and Marketing with John Marbachm of Grafana Labs
Publicado: 28/4/2021 -
33: ML is a Data Quality Problem with Peter Gao from Aquarium Learning
Publicado: 14/4/2021 -
32: Cooking with Data Ops with Chris Bergh from DataKitchen
Publicado: 7/4/2021
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.