The Data Stack Show
Un pódcast de Rudderstack
Categorías:
392 Episodo
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91: The Future of Streaming Data with Stripe, Deephaven, Materialize, and Benthos
Publicado: 15/6/2022 -
The PRQL: Can Streaming Simplify Your Data Flows?
Publicado: 10/6/2022 -
90: The Modern Data Stack Has a Join Problem with Ahmed Elsamadisi of Narrator AI
Publicado: 8/6/2022 -
The PRQL: Can One Table Rule Them All?
Publicado: 3/6/2022 -
89: Solving Microservice Orchestration Issues at Netflix with Viren Baraiya of Orkes
Publicado: 1/6/2022 -
The PRQL: What are the Different Flavors of Orchestration?
Publicado: 27/5/2022 -
88: What Is Data Observability? With Tristan Spaulding of Acceldata
Publicado: 25/5/2022 -
The PRQL: Does Data Exist if We Do Not Observe It?
Publicado: 20/5/2022 -
87: Why Is Now the Golden Age of Data Analytics? With Cindi Howson of ThoughtSpot
Publicado: 18/5/2022 -
The PRQL: Can You Trust AI Enabled Analytics?
Publicado: 13/5/2022 -
86: Solving the Data Quality Problem with Bigeye, Great Expectations, Metaplane, and Lightup.ai
Publicado: 11/5/2022 -
85: You Can Stop Doing Data Fire Drills with Barr Moses of Monte Carlo
Publicado: 4/5/2022 -
The PRQL: Be Careful, Young Padawan, When Comparing Software Observability and Data Observability
Publicado: 2/5/2022 -
Data Council Week (Ep 5): A Primer on Spatial Data With Gabriel Hidalgo of Carto
Publicado: 29/4/2022 -
Data Council Week (Ep 4): The Data Council Origin Story With Pete Soderling
Publicado: 28/4/2022 -
Data Council Week (Ep 3): Product Analytics the Right Way With James Greenhill of PostHog
Publicado: 27/4/2022 -
Data Council Week (Ep 2): Testing and Observability Are Two Sides of the Same Coin With Ben Castleton of Great Expectations
Publicado: 26/4/2022 -
Data Council Week (Ep 1): Discussing Firebolt’s Engine With Benjamin HoppDiscussing Firebolt’s Engine With Benjamin Hopp
Publicado: 25/4/2022 -
The PRQL: A Data Council Austin Quintuple
Publicado: 22/4/2022 -
The Data Stack Show Live: Solving the Data Quality Problem
Publicado: 21/4/2022
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.
