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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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Transform data engineering, marketing, real-time data integration and the use of AI with Daniel Pálma’s expert insights.

In this episode of The Data Engineering Show, Chad Sanderson explores the world of data change management.

Wouter Trappers shares his slightly unconventional path from philosopher to data consultant and engineer.

This is a special episode of The Data Engineering Show revisiting the best bits from three different fascinating episode

In The Data Engineering Show, Ryanne Dolan from LinkedIn joins the Bros to discuss LinkedIn's Hoptimator project.

Andy Pavlo, Associate Professor at Carnegie Mellon University, delves into database internals and optimization.

Too often expensive resources and manhours are spent on dashboards no one uses, resulting in zero ROI.

Principles essential for data quality, cost optimization, and data modeling, as adopted by the world's leading companies

Data engineering should be less about the stack and more about best practices.