This project is intended to ease dependency management for projects running on Databricks.
 | 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 |
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 | 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 |
