The Data Stack Show
Un pódcast de Rudderstack
Categorías:
392 Episodo
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101: The Future of Machine Learning with Willen Pienaar of Tecton and Tristan Zajonc of Continual
Publicado: 24/8/2022 -
The PRQL: Can Machine Learning Be Commoditized?
Publicado: 19/8/2022 -
100: Data Quality Is Relative to Purpose with James Campbell of Superconductive
Publicado: 17/8/2022 -
The PRQL: What’s the Hardest Part About Data Quality?
Publicado: 12/8/2022 -
99: State of the Data Lakehouse with Vinoth Chandar of Apache Hudi
Publicado: 10/8/2022 -
The PRQL: Does Lakehouse Architecture Really Mean the End of the Data Warehouse and Data Lake As We Know It?
Publicado: 5/8/2022 -
98: Category Theory and the Mathematical Foundation of the Technologies We Use with Eric Daimler of Conexus
Publicado: 3/8/2022 -
The PRQL: Farm to Table Abstract Mathematics
Publicado: 29/7/2022 -
97: How To Build an Organization-Empowering Data Team with Emilie Schario of Amplify Partners
Publicado: 27/7/2022 -
The PRQL: If You Were Building a Data Team What Would Your First Hire Be?
Publicado: 22/7/2022 -
96: How To Collect and Leverage Data From the Physical World with Prateek Joshi of Plutoshift
Publicado: 20/7/2022 -
The PRQL: Collecting Data in the Physical World
Publicado: 15/7/2022 -
95: How the Metrics Layer Bridges the Gap Between Data & Business with Nick Handel of Transform
Publicado: 13/7/2022 -
The PRQL: Data Marts Aren’t Just for the Enterprise
Publicado: 8/7/2022 -
94: Notebooks Aren’t Just for Data Scientists With Barry McCardel of Hex Technologies
Publicado: 6/7/2022 -
The PRQL: Have You Ever Been a Part of a Company That Has Done Analytics Really Well?
Publicado: 1/7/2022 -
93: There Is No Data Observability Without Lineage with Kevin Hu of Metaplane
Publicado: 29/6/2022 -
The PRQL: What Are the Similarities Between VCs and Tilapia?
Publicado: 24/6/2022 -
92: Building a Decentralized Storage System for Media File Collaboration with Tejas Chopra
Publicado: 22/6/2022 -
The PRQL: What is Netflix Cloud?
Publicado: 17/6/2022
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.
