Big Book of Data Engineering

Learn agentic data engineering practices

As data and AI workloads grow, data engineers spend too much time maintaining fragile ETL pipelines instead of building for the future.

The fifth edition of the Big Book of Data Engineering equips you with methods and tools to unify your data stack. This guide shows how ingestion, transformation and orchestration can work together to build a foundation that meets the speed, volume and complexity of today’s AI and analytics workloads.

Learn how to:

• Unify the stack: Bring ingestion, transformation and orchestration onto a single, governed platform
• Deliver real time at scale: Build millisecond-latency streaming pipelines that meet today’s speed and volume requirements
• Transition to agentic operations: Accelerate pipeline authoring using built-in AI agents that safely review and resolve data failures

Plus, get real-world examples of scaling pipelines and building agentic data foundations from the teams at NAB, Panasonic, Toyota, AccuWeather, Daikin and Coinbase.