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