The Data Stack Show
En podcast av Rudderstack
440 Avsnitt
-
The PRQL: Be Careful, Young Padawan, When Comparing Software Observability and Data Observability
Publicerades: 2022-05-02 -
Data Council Week (Ep 5): A Primer on Spatial Data With Gabriel Hidalgo of Carto
Publicerades: 2022-04-29 -
Data Council Week (Ep 4): The Data Council Origin Story With Pete Soderling
Publicerades: 2022-04-28 -
Data Council Week (Ep 3): Product Analytics the Right Way With James Greenhill of PostHog
Publicerades: 2022-04-27 -
Data Council Week (Ep 2): Testing and Observability Are Two Sides of the Same Coin With Ben Castleton of Great Expectations
Publicerades: 2022-04-26 -
Data Council Week (Ep 1): Discussing Firebolt’s Engine With Benjamin HoppDiscussing Firebolt’s Engine With Benjamin Hopp
Publicerades: 2022-04-25 -
The PRQL: A Data Council Austin Quintuple
Publicerades: 2022-04-22 -
The Data Stack Show Live: Solving the Data Quality Problem
Publicerades: 2022-04-21 -
84: Why Are Analytics Still So Hard? With Kaycee Lai of Promethium
Publicerades: 2022-04-20 -
The PRQL: Does Putting All Your Data in One Place Create More Problems Than it Solves?
Publicerades: 2022-04-15 -
83: Closing the Gap Between Business Analytics and Operational Analytics With Max Beauchemin of Preset
Publicerades: 2022-04-13 -
The PRQL: BI, Real-Time, and Data Tooling
Publicerades: 2022-04-08 -
82: Databases: The Fun Never Stops with Robert Hodges of Altinity
Publicerades: 2022-04-06 -
The PRQL: What Inspires Continued Innovation in Databases?
Publicerades: 2022-04-01 -
81: Digging into Data Ops with Prukalpa Sankar of Atlan
Publicerades: 2022-03-30 -
The PRQL: Data Team Diversity & Maturing Data Ops
Publicerades: 2022-03-25 -
80: Is Reverse-ETL Just Another Data Pipeline? With Census, Hightouch, & Workato
Publicerades: 2022-03-23 -
The PRQL: Is Reverse ETL New or Old?
Publicerades: 2022-03-18 -
79: All About Experimentation with Che Sharma of Eppo
Publicerades: 2022-03-16 -
The PRQL: Is A/B Testing Only Relevant for B2C?
Publicerades: 2022-03-11
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.