Book Image

Business Intelligence with Databricks SQL

By : Vihag Gupta
Book Image

Business Intelligence with Databricks SQL

By: Vihag Gupta

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)
1
Part 1: Databricks SQL on the Lakehouse
9
Part 2: Internals of Databricks SQL
13
Part 3: Databricks SQL Commands
16
Part 4: TPC-DS, Experiments, and Frequently Asked Questions

Technical requirements

To get the most out of this chapter, you will need to have access to the following resources:

  • A Databricks workspace. Databricks SQL requires a Premium or higher level of subscription. Databricks SQL is currently available on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Provisioning a Databricks workspace is beyond the scope of this book. You can get started here: https://databricks.com/try-databricks.
  • Any modern internet browser. Databricks workspaces are accessed via browsers. Command-line interface and REST API-based access is also possible, but these are beyond the scope of this book. You can explore the CLI and REST API at your own pace by following the guide at https://docs.databricks.com/reference/command.html.

Note

The documentation links contain a switcher that allows you to navigate to the documentation links for the cloud of your choice. The core functionality of Databricks SQL is the same across...