The Data Stack Show
En podcast av Rudderstack
440 Avsnitt
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105: The Modern Data Stack Is Just Getting Started with Astasia Myers of Quiet Capital
Publicerades: 2022-09-21 -
The PRQL: Kostas Becomes a Prophet
Publicerades: 2022-09-16 -
104: A Decade of Change in the Data Space with Benn Stancil of Mode
Publicerades: 2022-09-14 -
The PRQL: What Does 10 Years in the Data Space Give You?
Publicerades: 2022-09-09 -
103: Everyone Is Invited to the Data Lakehouse with Kyle Weller of Onehouse.ai
Publicerades: 2022-09-07 -
The PRQL: Who Really Needs To Know How a DBMS Works?
Publicerades: 2022-09-02 -
102: Building Pinot for Real-Time, Interactive User Analytics with Kishore Gopalakrishna of StarTree
Publicerades: 2022-08-31 -
The PRQL: Data Warehouses on Steroids
Publicerades: 2022-08-26 -
101: The Future of Machine Learning with Willen Pienaar of Tecton and Tristan Zajonc of Continual
Publicerades: 2022-08-24 -
The PRQL: Can Machine Learning Be Commoditized?
Publicerades: 2022-08-19 -
100: Data Quality Is Relative to Purpose with James Campbell of Superconductive
Publicerades: 2022-08-17 -
The PRQL: What’s the Hardest Part About Data Quality?
Publicerades: 2022-08-12 -
99: State of the Data Lakehouse with Vinoth Chandar of Apache Hudi
Publicerades: 2022-08-10 -
The PRQL: Does Lakehouse Architecture Really Mean the End of the Data Warehouse and Data Lake As We Know It?
Publicerades: 2022-08-05 -
98: Category Theory and the Mathematical Foundation of the Technologies We Use with Eric Daimler of Conexus
Publicerades: 2022-08-03 -
The PRQL: Farm to Table Abstract Mathematics
Publicerades: 2022-07-29 -
97: How To Build an Organization-Empowering Data Team with Emilie Schario of Amplify Partners
Publicerades: 2022-07-27 -
The PRQL: If You Were Building a Data Team What Would Your First Hire Be?
Publicerades: 2022-07-22 -
96: How To Collect and Leverage Data From the Physical World with Prateek Joshi of Plutoshift
Publicerades: 2022-07-20 -
The PRQL: Collecting Data in the Physical World
Publicerades: 2022-07-15
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.