Summary

In this chapter, we learned about several Databricks case studies, ranging from manufacturing and media to logistics and the supply chain. All these solution architectures have employed Databricks in different ways. Irrespective of its role in an organization's data journey, Databricks has always emerged as a game-changer in the world of big data analytics.

This brings us to the end of this book. We learned quite a lot about Spark and Databricks, starting with the fundamentals and quickly moving toward optimization techniques and best practices. We learned about how Delta Lake, MLflow, and Koalas help make Databricks a complete and cloud-first data platform for all data engineering and data science needs.