The Data Stack Show
En podcast af Rudderstack
Kategorier:
392 Episoder
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The PRQL: The Beauty of Commoditization
Udgivet: 26.11.2021 -
63: The ETL - ELT Flip With Ciaran Dynes of Matillion
Udgivet: 24.11.2021 -
The PRQL: What Part of the Data Stack Will Be Commoditized Next?
Udgivet: 19.11.2021 -
62: The Internet of Everything with Rob Rastovich of ThingLogix
Udgivet: 17.11.2021 -
The PRQL: Are you afraid of IOT?
Udgivet: 12.11.2021 -
61: What is Data Design? With Kevin Gervais of Touchless
Udgivet: 10.11.2021 -
The PRQL: Will we ever get rid of the CSV?
Udgivet: 8.11.2021 -
Data Debrief: The Highs and Lows of Open Source Projects
Udgivet: 5.11.2021 -
60: Architecting a Boring Stream Processing Tool With Ashley Jeffs of Benthos
Udgivet: 3.11.2021 -
Data Debrief: What Open Source Data Projects Have Come Out of Facebook, Whoops, *Meta?
Udgivet: 29.10.2021 -
59: Making ETL Optional with Justin Borgman of Starburst Data
Udgivet: 27.10.2021 -
Data Debrief: Will Enterprise Build The Future of Data Tooling?
Udgivet: 22.10.2021 -
58: Data Federation is No Longer The "F" Word with Scott Gnau of InterSystems
Udgivet: 20.10.2021 -
Data Debrief: Can Tools Help Solve Data Quality Organizational Challenges?
Udgivet: 15.10.2021 -
57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye
Udgivet: 13.10.2021 -
56: Stream Processing and Observability with Jeff Chao of Stripe
Udgivet: 6.10.2021 -
55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs
Udgivet: 29.9.2021 -
54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel
Udgivet: 22.9.2021 -
53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC
Udgivet: 15.9.2021 -
52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY
Udgivet: 8.9.2021
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.