Podcast

Listen to 'The Data Engineering Show' for the latest insights.

The $100M Problem: How Lyft's Data Platform Prevents ML Failures with Ritesh Varyani at Lyft

Lyft's Ritesh Varyani details their polyglot data strategy unifying Spark, Trino, and ClickHouse with AI.

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How ZipRecruiter and Yotpo build resilient self-service products that keep customers happy and engineers calm

Barr Moses explains how to make sure your data is accurate in a world where so many different teams are accessing it

Amplitude's cutting-edge data stack and how it processes 5 Trillion real-time events while dealing with mutable data

80% of the code that you write doesn’t work on the first try. But knowing which 80% is not working is the real challenge

Sudeep Kumar, Principal Engineer at Salesforce considers the shift to Clickhouse as one of his biggest accomplishments

Max walks the Bros through his recipe for a smart data-driven company, and the genesis of Airflow, Superset & Presto.

According to Yoav Shmaria, VP R&D Platform at Similarweb, the best way to manage data warehouse costs is tagging

Klarna is one of the leading fintech companies in the world, valued at $45B.

An episode about Eventbrite’s data stack modernization process, and how you get engineers to adopt new technologies