The Data Stack Show
Ein Podcast von Rudderstack
440 Folgen
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Shop Talk: Snowflake Summit Recap
Vom: 21.7.2023 -
147: Where Data and Infrastructure Converge Featuring Lars Kamp of Resoto
Vom: 19.7.2023 -
The PRQL: Cloud Resource Management Is a Data Problem Featuring Lars Kamp of Resoto
Vom: 17.7.2023 -
146: What Is a Customer Data Platform? Featuring Soumyadeb Mitra of Rudderstack
Vom: 12.7.2023 -
The PRQL: Building Data Products for Multiple Personas with Soumyadeb Mitra of Rudderstack
Vom: 10.7.2023 -
145: What is Synthetic Data? Featuring Omar Maher of Parallel Domain
Vom: 5.7.2023 -
The PRQL: Synthetic Data and Self Driving Cars with Omar Maher of Parallel Domain
Vom: 3.7.2023 -
144: Explaining Features, Embeddings, and the Difference Between ML and AI with Simba Khadder of Featureform
Vom: 28.6.2023 -
The PRQL: Feature Stores and ML Ops with Simba Khadder of Featureform
Vom: 26.6.2023 -
Shop Talk: Accountability and Opportunity for AI
Vom: 23.6.2023 -
143: Collaborative Data Analytics on the Data Warehouse, featuring Rob Woollen & Stipo Josipovic of Sigma
Vom: 21.6.2023 -
The PRQL: Modern Analytics Using Common Paradigms, Featuring Rob Woollen & Stipo Josipovic of Sigma
Vom: 19.6.2023 -
Shop Talk: Why AI Is Not Another Crypto
Vom: 16.6.2023 -
142: Martech’s Separation and Return to Data Infrastructure with Scott Brinker of HubSpot
Vom: 14.6.2023 -
The PRQL: Marketing, Martech, and Data with Scott Brinker of HubSpot
Vom: 12.6.2023 -
141: A Journey From Backend Engineer to Data Engineer with Ioannis Foukarakis of Mattermost
Vom: 7.6.2023 -
The PRQL: The Portability of Engineering Fundamentals with Ioannis Foukarakis of Mattermost
Vom: 5.6.2023 -
140: Stream Processing for Machine Learning with Davor Bonaci of DataStax
Vom: 31.5.2023 -
The PRQL: Kaskada Serving as a Recommendation Engine with Davor Bonaci of DataStax
Vom: 29.5.2023 -
139: Decoupling the Execution Engine From Python’s Pandas with Aditya Parameswaran of Ponder
Vom: 24.5.2023
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.
