The Data Stack Show
A podcast by Rudderstack

Categories:
440 Episodes
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112: Python Native Stream Processing with Zander Matheson of bytewax
Published: 11/9/2022 -
The PRQL: Who Needs a Stream Processing Engine?
Published: 11/7/2022 -
Shop Talk: The Business of Data Infrastructure is Uniquely Challenging
Published: 11/4/2022 -
111: What if Your Code Just Ran in the Cloud for You? Featuring Erik Bernhardsson of Modal Labs
Published: 11/2/2022 -
The PRQL: Erik Bernhardsson Just Can’t Stop Solving Problems
Published: 10/28/2022 -
110: How Can Data Discovery Help You Understand Your Data? Featuring Shinji Kim of Select Star
Published: 10/26/2022 -
Shop Talk: Why Are There So Many Flavors of Databases?
Published: 10/24/2022 -
The PRQL: What is Data Discovery?
Published: 10/21/2022 -
109: How Does Headless Business Intelligence Work? Featuring Artyom Keydunov and Pavel Tiunov of Cube Dev
Published: 10/19/2022 -
Shop Talk: Will the Future of the Customer Data Platform Include a Shared Logic Layer?
Published: 10/17/2022 -
The PRQL: What Comes to Mind When You Think of ‘Headless’?
Published: 10/14/2022 -
108: You Can’t Separate Data Reliability From Workflow with Gleb Mezhanskiy of Datafold
Published: 10/12/2022 -
Shop Talk: Is It Possible for Excel To Die?
Published: 10/10/2022 -
The PRQL: Are Marketers the Worst Data Quality Offenders?
Published: 10/7/2022 -
107: Building Modern Data Teams with dbt Labs, REI, and Robinhood
Published: 10/5/2022 -
Shop Talk With Eric and Kostas: Transitioning From Consumer to Builder
Published: 10/3/2022 -
The PRQL: What Can We Learn From the Patterns of Successful Data Teams?
Published: 9/30/2022 -
106: Optimizing Query Workloads (and Your Snowflake Bill) with Vinoo Ganesh of Bluesky Data
Published: 9/28/2022 -
Shop Talk With Eric and Kostas: Data Politicians
Published: 9/26/2022 -
The PRQL: Comparing Snowflake to a Car
Published: 9/23/2022
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.