The Data Stack Show
Un pódcast de Rudderstack
Categorías:
392 Episodo
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74: Kostas Respawns at Starburst, is Interviewed by Eric, and Reminisces About Winamp
Publicado: 9/2/2022 -
The PRQL: What Prompts a Conversation About Winamp & Quake Arena on The Data Stack Show?
Publicado: 4/2/2022 -
73: What a High Performing Data Team (and Stack) Looks Like with Paige Berry of Netlify
Publicado: 2/2/2022 -
The PRQL: How High Performing Data Teams Put Tooling in the Background
Publicado: 28/1/2022 -
72: Building Data Ops Into the Data Lifecycle with Douwe Maan of Meltano
Publicado: 26/1/2022 -
The PRQL: Is It Viable to Manage Integrations Open Source?
Publicado: 21/1/2022 -
71: ETL at the Edges with Jimmy Chan of Dropbase
Publicado: 19/1/2022 -
The PRQL: Is Kostas an Excel Power User Yes/No?
Publicado: 14/1/2022 -
70: The Difference Between Data Lakes and Data Warehouses with Vinoth Chandar of Apache Hudi
Publicado: 12/1/2022 -
The PRQL: What Old Tech Concepts Were Borrowed to Build the Data Lake House?
Publicado: 7/1/2022 -
69: What is the Modern Data Stack?
Publicado: 5/1/2022 -
The PRQL: Should Data Trust Drive the Evolution of Your Data Stack?
Publicado: 31/12/2021 -
68: Season Three Recap: Holiday Edition with Eric Dodds and Kostas Pardalis
Publicado: 29/12/2021 -
67: Now is the Time to Think About Data Quality with Manu Bansal of Lightup Data
Publicado: 22/12/2021 -
The PRQL: Will Data Quality Always Require a Human in the Loop?
Publicado: 21/12/2021 -
66: How Data Infrastructure Has Evolved and Managing High Performing Data Teams with Srivatsan Sridharan
Publicado: 15/12/2021 -
The PRQL: How Would You Define a Data Pipeline? Featuring the RudderStack Eng. Team
Publicado: 10/12/2021 -
65: Operationalizing Data from the Warehouse With Aayush Jain of Cliff.ai
Publicado: 8/12/2021 -
The PRQL: Why is the Data Engineer's Role Expanding?
Publicado: 3/12/2021 -
64: Data Stack Composability and Commoditization with Michel Tricot of Airbyte
Publicado: 1/12/2021
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.
