The Data Stack Show
A podcast by Rudderstack
440 Episoade
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The PRQL: Be Careful, Young Padawan, When Comparing Software Observability and Data Observability
Publicat: 02.05.2022 -
Data Council Week (Ep 5): A Primer on Spatial Data With Gabriel Hidalgo of Carto
Publicat: 29.04.2022 -
Data Council Week (Ep 4): The Data Council Origin Story With Pete Soderling
Publicat: 28.04.2022 -
Data Council Week (Ep 3): Product Analytics the Right Way With James Greenhill of PostHog
Publicat: 27.04.2022 -
Data Council Week (Ep 2): Testing and Observability Are Two Sides of the Same Coin With Ben Castleton of Great Expectations
Publicat: 26.04.2022 -
Data Council Week (Ep 1): Discussing Firebolt’s Engine With Benjamin HoppDiscussing Firebolt’s Engine With Benjamin Hopp
Publicat: 25.04.2022 -
The PRQL: A Data Council Austin Quintuple
Publicat: 22.04.2022 -
The Data Stack Show Live: Solving the Data Quality Problem
Publicat: 21.04.2022 -
84: Why Are Analytics Still So Hard? With Kaycee Lai of Promethium
Publicat: 20.04.2022 -
The PRQL: Does Putting All Your Data in One Place Create More Problems Than it Solves?
Publicat: 15.04.2022 -
83: Closing the Gap Between Business Analytics and Operational Analytics With Max Beauchemin of Preset
Publicat: 13.04.2022 -
The PRQL: BI, Real-Time, and Data Tooling
Publicat: 08.04.2022 -
82: Databases: The Fun Never Stops with Robert Hodges of Altinity
Publicat: 06.04.2022 -
The PRQL: What Inspires Continued Innovation in Databases?
Publicat: 01.04.2022 -
81: Digging into Data Ops with Prukalpa Sankar of Atlan
Publicat: 30.03.2022 -
The PRQL: Data Team Diversity & Maturing Data Ops
Publicat: 25.03.2022 -
80: Is Reverse-ETL Just Another Data Pipeline? With Census, Hightouch, & Workato
Publicat: 23.03.2022 -
The PRQL: Is Reverse ETL New or Old?
Publicat: 18.03.2022 -
79: All About Experimentation with Che Sharma of Eppo
Publicat: 16.03.2022 -
The PRQL: Is A/B Testing Only Relevant for B2C?
Publicat: 11.03.2022
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.
