Business Intelligence with Databricks SQL
By :
Business Intelligence with Databricks SQL
By:
Overview of this book
In this new era of data platform system design, data lakes and data warehouses are giving way to the lakehouse – a new type of data platform system that aims to unify all data analytics into a single platform. Databricks, with its Databricks SQL product suite, is the hottest lakehouse platform out there, harnessing the power of Apache Spark™, Delta Lake, and other innovations to enable data warehousing capabilities on the lakehouse with data lake economics.
This book is a comprehensive hands-on guide that helps you explore all the advanced features, use cases, and technology components of Databricks SQL. You’ll start with the lakehouse architecture fundamentals and understand how Databricks SQL fits into it. The book then shows you how to use the platform, from exploring data, executing queries, building reports, and using dashboards through to learning the administrative aspects of the lakehouse – data security, governance, and management of the computational power of the lakehouse. You’ll also delve into the core technology enablers of Databricks SQL – Delta Lake and Photon. Finally, you’ll get hands-on with advanced SQL commands for ingesting data and maintaining the lakehouse.
By the end of this book, you’ll have mastered Databricks SQL and be able to deploy and deliver fast, scalable business intelligence on the lakehouse.
Table of Contents (21 chapters)
Preface
Part 1: Databricks SQL on the Lakehouse
Free Chapter
Chapter 1: Introduction to Databricks
Chapter 2: The Databricks Product Suite – A Visual Tour
Chapter 3: The Data Catalog
Chapter 4: The Security Model
Chapter 5: The Workbench
Chapter 6: The SQL Warehouses
Chapter 7: Using Business Intelligence Tools with Databricks SQL
Part 2: Internals of Databricks SQL
Chapter 8: The Delta Lake
Chapter 9: The Photon Engine
Chapter 10: Warehouse on the Lakehouse
Part 3: Databricks SQL Commands
Chapter 11: SQL Commands – Part 1
Chapter 12: SQL Commands – Part 2
Part 4: TPC-DS, Experiments, and Frequently Asked Questions
Chapter 13: Playing with the TPC-DS Dataset
Chapter 14: Ask Me Anything
Index
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