The Data Stack Show
Podcast autorstwa Rudderstack
440 Odcinki
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105: The Modern Data Stack Is Just Getting Started with Astasia Myers of Quiet Capital
Opublikowany: 21.09.2022 -
The PRQL: Kostas Becomes a Prophet
Opublikowany: 16.09.2022 -
104: A Decade of Change in the Data Space with Benn Stancil of Mode
Opublikowany: 14.09.2022 -
The PRQL: What Does 10 Years in the Data Space Give You?
Opublikowany: 9.09.2022 -
103: Everyone Is Invited to the Data Lakehouse with Kyle Weller of Onehouse.ai
Opublikowany: 7.09.2022 -
The PRQL: Who Really Needs To Know How a DBMS Works?
Opublikowany: 2.09.2022 -
102: Building Pinot for Real-Time, Interactive User Analytics with Kishore Gopalakrishna of StarTree
Opublikowany: 31.08.2022 -
The PRQL: Data Warehouses on Steroids
Opublikowany: 26.08.2022 -
101: The Future of Machine Learning with Willen Pienaar of Tecton and Tristan Zajonc of Continual
Opublikowany: 24.08.2022 -
The PRQL: Can Machine Learning Be Commoditized?
Opublikowany: 19.08.2022 -
100: Data Quality Is Relative to Purpose with James Campbell of Superconductive
Opublikowany: 17.08.2022 -
The PRQL: What’s the Hardest Part About Data Quality?
Opublikowany: 12.08.2022 -
99: State of the Data Lakehouse with Vinoth Chandar of Apache Hudi
Opublikowany: 10.08.2022 -
The PRQL: Does Lakehouse Architecture Really Mean the End of the Data Warehouse and Data Lake As We Know It?
Opublikowany: 5.08.2022 -
98: Category Theory and the Mathematical Foundation of the Technologies We Use with Eric Daimler of Conexus
Opublikowany: 3.08.2022 -
The PRQL: Farm to Table Abstract Mathematics
Opublikowany: 29.07.2022 -
97: How To Build an Organization-Empowering Data Team with Emilie Schario of Amplify Partners
Opublikowany: 27.07.2022 -
The PRQL: If You Were Building a Data Team What Would Your First Hire Be?
Opublikowany: 22.07.2022 -
96: How To Collect and Leverage Data From the Physical World with Prateek Joshi of Plutoshift
Opublikowany: 20.07.2022 -
The PRQL: Collecting Data in the Physical World
Opublikowany: 15.07.2022
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.
