Big Book of Data Engineering - Get how-tos, code snippets and real-world examples

[Sujitha]

As data volume and complexity increase, engineers are left figuring out how to manage, monitor and maintain fragile pipelines while also handling fragmented tools.

The Big Book of Data Engineering equips you with cutting-edge methods for building pipelines faster and leveraging an intelligent data platform to deliver high-quality data for your AI, BI and analytics workloads.

This practical guide provides an overview of data engineering and the challenges faced today, as well as expert deep dives into:

• Patterns for scaling ETL pipelines effectively
• Orchestrating data, analytics and AI workloads
• Implementing observability for your data pipelines
• Strategies for optimizing Databricks investments and reducing data costs
• Guidance on using Lakeflow and the Data Intelligence Platform to manage data pipelines

Plus, you’ll discover how companies in Healthcare, Financial Services, Retail and Entertainment are building intelligent batch and streaming data pipelines.

Click here to get your copy now

[LukasOlsovsky]

Thank you!

[Raman_Unifeye]

@Sujitha - unlike the past editions (3rd Edtion of Jan-2025), this one does not suggest which edition/release-date of it. I assume its the latest one but and edition/release-date/month will be helpful for the readers. Thanks.

[User16685683696]

@Raman_Unifeye, you are correct, this is the latest edition, and it was just published this month. We've moved away from displaying the edition on the cover to simplify the visual, but I think it's good feedback to include the edition or publish date somewhere inside the book, for those folks who'd like to ensure they have the latest version. I'll take this back to the team for the next update.

[Raman_Unifeye]

@User16685683696  Thanks, much appreciated.