Textbook in PDF format

Analyze, Architect, and Innovate with Databricks Lakehouse.
The Databricks Lakehouse is groundbreaking technology that simplifies data storage, processing, and analysis. This cookbook offers a clear and practical guide to building and optimizing your Lakehouse to make data-driven decisions and drive impactful results.
This definitive guide walks you through the entire Lakehouse journey, from setting up your environment, and connecting to storage, to creating Delta tables, building data models, and ingesting and transforming data. We start off by discussing how to ingest data to Bronze, then refine it to produce Silver. Next, we discuss how to create Gold tables and various data modeling techniques often performed in the Gold layer. You will learn how to leverage Spark SQL and PySpark for efficient data manipulation, apply Delta Live Tables for real-time data processing, and implement Machine Learning and Data Science workflows with MLflow, Feature Store, and AutoML. The book also delves into advanced topics like graph analysis, data governance, and visualization, equipping you with the necessary knowledge to solve complex data challenges. By the end of this cookbook, you will be a confident Lakehouse expert, capable of designing, building, and managing robust data-driven solutions.
It is commonly understood that valuable insights can be found in an organization’s data. One way to extract that value is to construct a Data Lakehouse. This book helps you create a Lakehouse on the Databricks Platform. It is the culmination of decades of data processing design and implementation. We start with the basics, such as explaining what a Databricks Lakehouse is, why we need them, and what value it brings. We move on to applying the concepts in practice. Part of the reason for constructing a Data Lakehouse is to enable users to access its data. We then discuss the various personas that benefit from a Databricks Lakehouse.
While we start with the fundamentals, we rapidly move on to more advanced topics. A good understanding of SQL, Python, Spark, and cloud computing would benefit the reader but is not required.
What you will learn:
- Design and build a robust Databricks Lakehouse environment.
- Create and manage Delta tables with advanced transformations.
- Analyze and transform data using SQL and Python.
- Build and deploy machine learning models for actionable insights.
- Implement best practices for data governance and security.
Who this book is for:
This book is meant for Data Engineers, Data Analysts, Data Scientists, Business intelligence professionals, and Architects who want to go to the next level of Data Engineering using the Databricks platform to construct Lakehouses