The Data Stack Show
A podcast by Rudderstack
440 Episoade
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68: Season Three Recap: Holiday Edition with Eric Dodds and Kostas Pardalis
Publicat: 29.12.2021 -
67: Now is the Time to Think About Data Quality with Manu Bansal of Lightup Data
Publicat: 22.12.2021 -
The PRQL: Will Data Quality Always Require a Human in the Loop?
Publicat: 21.12.2021 -
66: How Data Infrastructure Has Evolved and Managing High Performing Data Teams with Srivatsan Sridharan
Publicat: 15.12.2021 -
The PRQL: How Would You Define a Data Pipeline? Featuring the RudderStack Eng. Team
Publicat: 10.12.2021 -
65: Operationalizing Data from the Warehouse With Aayush Jain of Cliff.ai
Publicat: 08.12.2021 -
The PRQL: Why is the Data Engineer's Role Expanding?
Publicat: 03.12.2021 -
64: Data Stack Composability and Commoditization with Michel Tricot of Airbyte
Publicat: 01.12.2021 -
The PRQL: The Beauty of Commoditization
Publicat: 26.11.2021 -
63: The ETL - ELT Flip With Ciaran Dynes of Matillion
Publicat: 24.11.2021 -
The PRQL: What Part of the Data Stack Will Be Commoditized Next?
Publicat: 19.11.2021 -
62: The Internet of Everything with Rob Rastovich of ThingLogix
Publicat: 17.11.2021 -
The PRQL: Are you afraid of IOT?
Publicat: 12.11.2021 -
61: What is Data Design? With Kevin Gervais of Touchless
Publicat: 10.11.2021 -
The PRQL: Will we ever get rid of the CSV?
Publicat: 08.11.2021 -
Data Debrief: The Highs and Lows of Open Source Projects
Publicat: 05.11.2021 -
60: Architecting a Boring Stream Processing Tool With Ashley Jeffs of Benthos
Publicat: 03.11.2021 -
Data Debrief: What Open Source Data Projects Have Come Out of Facebook, Whoops, *Meta?
Publicat: 29.10.2021 -
59: Making ETL Optional with Justin Borgman of Starburst Data
Publicat: 27.10.2021 -
Data Debrief: Will Enterprise Build The Future of Data Tooling?
Publicat: 22.10.2021
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.