The Data Stack Show
A podcast by Rudderstack

Categories:
440 Episodes
-
132: Data Quality and Data Contracts with Chad Sanderson of Data Quality Camp
Published: 3/29/2023 -
The PRQL: The Value of Data Contracts with Chad Sanderson, Head of Data, Data Contracts Advocate, Data Quality Camp
Published: 3/27/2023 -
131: How Data Teams Interact With Marketing Tools with Jason Davis of Simon Data
Published: 3/22/2023 -
The PRQL: Unleashing the Potential of CDPs with Jason Davis, Co-Founder and CEO of Simon Data
Published: 3/20/2023 -
130: From Business Intelligence to Product Analytics and Beyond with Vijay Ganesan of NetSpring.io
Published: 3/15/2023 -
The PRQL: Business Intelligence and Product Analytics With Vijay Ganesan, Co-Founder and CEO at NetSpring.io
Published: 3/13/2023 -
129: Databases, Data Warehouses, and Timeseries Data with David Kogn of Timescale
Published: 3/8/2023 -
The PRQL: Time-Series Data 101
Published: 3/6/2023 -
128: The Possibilities Are Endless for Synthetic Data with Alex Watson of Gretel.ai
Published: 3/1/2023 -
The PRQL: Boundaries Between Synthetic Data and Prediction Models
Published: 2/27/2023 -
127: The Anatomy of a Data Lakehouse with Alex Merced of Dremio
Published: 2/22/2023 -
The PRQL: What Does It Mean to be a Developer Advocate?
Published: 2/20/2023 -
126: Crossing the Product Analytics Chasm with Spenser Skates of Amplitude Analytics
Published: 2/15/2023 -
The PRQL: Amplitude - From Startup to IPO
Published: 2/13/2023 -
125: Authorization Is A Data Problem with Jeff Chao of Abbey Labs
Published: 2/8/2023 -
The PRQL: Solving Identity in Marketing vs. Security
Published: 2/6/2023 -
124: Pragmatism About Data Stacks with Pedram Navid of West Marin Data
Published: 2/1/2023 -
The PRQL: What Does the Modern Data Stack Mean to Normal Companies?
Published: 1/30/2023 -
123: What Is a Universal Database? Featuring Stavros Papadopoulos of TileDB, Inc.
Published: 1/25/2023 -
The PRQL: Bringing Innovation to the Lowest Level of Databases
Published: 1/23/2023
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.