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ML and Generative AI in the Data Lakehouse
book

ML and Generative AI in the Data Lakehouse

by Bennie Haelen
June 2026
Intermediate to advanced
448 pages
13h 39m
English
O'Reilly Media, Inc.
Content preview from ML and Generative AI in the Data Lakehouse

Chapter 2. The Databricks Data Intelligence Platform

This chapter explores the reasons for adopting the Databricks Platform as the platform of choice for developing advanced AI, ML, and GenAI solutions.

We begin with an overview of the Databricks Data Intelligence Platform, introducing its foundational components, including Delta Lake for reliable data storage, Unity Catalog for governance, and Mosaic AI for model development. The chapter then provides an in-depth look at the Databricks Runtime, highlighting performance optimizations like Photon acceleration, which delivers 2× to 8× speedups on real-world workloads, ensuring efficient data processing and rapid model training.

We explore the platform’s versatile cluster configurations, including All-Purpose Clusters for interactive development and Job Clusters for automated workflows, along with serverless compute options that eliminate infrastructure management overhead. Workspaces and interactive notebooks facilitate organized collaboration, allowing teams to manage code, libraries, and resources within a secure and scalable environment.

Finally, we walk you through all the steps needed to set up a Databricks ML environment. You’ll learn how to create a Databricks account and workspace, configure that workspace, set up clusters optimized for ML workloads, and select the appropriate runtime for your needs.

Why the Databricks Platform?

Organizations developing AI, ML, and GenAI solutions face a common set of challenges: fragmented ...

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Publisher Resources

ISBN: 9781098178482Errata Page