Here’s a breakdown of some popular Databricks books, along with a few resources from Databricks themselves:

Databricks-Focused Books

• Mastering Databricks Lakehouse Platformby Ajay Singh: A comprehensive guide to the Databricks Lakehouse concept that covers data warehousing,
•  Data engineering, machine learning, and more.
• Ultimate Data Engineering with Databricks by Manish Kumar teaches you how to build scalable data pipelines, covering topics like Delta tables, data ingestion, security, and more.
• Databricks Lakehouse Platform Cookbook by Alan L. Dennis: Provides practical recipes and solutions for everyday challenges and scenarios when working with the Databricks Lakehouse.

Official Databricks Resources

• The Big Book of Data Engineering – Databricks (https://www.databricks.com/resources/ebook/the-big-book-of-data-engineering): An in-depth eBook from Databricks covering best practices in data engineering. This is an excellent resource if you want insights directly from the creators of Databricks.
• Databricks Resources Page (https://www.databricks.com/resources): Offers a selection of webinars, whitepapers, and other materials from Databricks that can aid your learning.

Choosing the Right Resource

• Beginners: “The Big Book of Data Engineering” is a good starting point for understanding the core concepts. It’s also freely available.
• For practitioners seeking specific solutions, the “Databricks Lakehouse Platform Cookbook” is a handy reference.
• In-depth understanding: “Mastering Databricks Lakehouse Platform” and “Ultimate Data Engineering with Databricks” are excellent choices.