The Data Stack Show
Podcast autorstwa Rudderstack
440 Odcinki
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The PRQL: Be Careful, Young Padawan, When Comparing Software Observability and Data Observability
Opublikowany: 2.05.2022 -
Data Council Week (Ep 5): A Primer on Spatial Data With Gabriel Hidalgo of Carto
Opublikowany: 29.04.2022 -
Data Council Week (Ep 4): The Data Council Origin Story With Pete Soderling
Opublikowany: 28.04.2022 -
Data Council Week (Ep 3): Product Analytics the Right Way With James Greenhill of PostHog
Opublikowany: 27.04.2022 -
Data Council Week (Ep 2): Testing and Observability Are Two Sides of the Same Coin With Ben Castleton of Great Expectations
Opublikowany: 26.04.2022 -
Data Council Week (Ep 1): Discussing Firebolt’s Engine With Benjamin HoppDiscussing Firebolt’s Engine With Benjamin Hopp
Opublikowany: 25.04.2022 -
The PRQL: A Data Council Austin Quintuple
Opublikowany: 22.04.2022 -
The Data Stack Show Live: Solving the Data Quality Problem
Opublikowany: 21.04.2022 -
84: Why Are Analytics Still So Hard? With Kaycee Lai of Promethium
Opublikowany: 20.04.2022 -
The PRQL: Does Putting All Your Data in One Place Create More Problems Than it Solves?
Opublikowany: 15.04.2022 -
83: Closing the Gap Between Business Analytics and Operational Analytics With Max Beauchemin of Preset
Opublikowany: 13.04.2022 -
The PRQL: BI, Real-Time, and Data Tooling
Opublikowany: 8.04.2022 -
82: Databases: The Fun Never Stops with Robert Hodges of Altinity
Opublikowany: 6.04.2022 -
The PRQL: What Inspires Continued Innovation in Databases?
Opublikowany: 1.04.2022 -
81: Digging into Data Ops with Prukalpa Sankar of Atlan
Opublikowany: 30.03.2022 -
The PRQL: Data Team Diversity & Maturing Data Ops
Opublikowany: 25.03.2022 -
80: Is Reverse-ETL Just Another Data Pipeline? With Census, Hightouch, & Workato
Opublikowany: 23.03.2022 -
The PRQL: Is Reverse ETL New or Old?
Opublikowany: 18.03.2022 -
79: All About Experimentation with Che Sharma of Eppo
Opublikowany: 16.03.2022 -
The PRQL: Is A/B Testing Only Relevant for B2C?
Opublikowany: 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.