The Databricks SDK for Java includes functionality to accelerate development with Java for
the Databricks Lakehouse. It covers all public Databricks REST API operations. The SDK's internal HTTP client
is robust and handles failures on different levels by performing intelligent retries.
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Data Governance with Unity Catalog on Databricks: Implement Data and AI Governance with Databricks Data Intelligence Platform (2025) by Sreekumar, Kiran, Subbarao, Karthik Databricks Lakehouse Platform Cookbook: 100+ recipes for building a scalable and secure Databricks Lakehouse (English Edition) (2023) by L. Dennis, Dr. Alan DataBricks — An Unofficial Beginner's Guide to Databricks: A hands-on journey through notebooks, Lakehouse, and ML (2025) by Launch , Mellow, Launch , Mellow Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice (2025) by Alhussein, Derar Databricks Data Intelligence Platform: Unlocking the GenAI Revolution (2024) by Gupta, Nikhil, Yip, Jason Databricks ML in Action: Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment (2024) by Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, Hayley Horn Building Modern Data Applications Using Databricks Lakehouse: Develop, optimize, and monitor data pipelines on Databricks (2024) by Will Girten Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake (2024) by Pulkit Chadha