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

Basic navigation with the sidebar

In this section, we will learn how to navigate the Databricks platform using the left-hand sidebar. The left-hand sidebar contains links to all the user-facing features and functions on the platform.

First things first, we must log in to our Databricks platform. Whether you created a Databricks account for yourself or are using a Databricks account that your organization uses, you should have a workspace URL. Visit the workspace URL and log in with your credentials. For Azure Databricks users, the URL should be of the https://adb-<an_alphanumeric_string>.azuredatabricks.net/ form. For Databricks on AWS, the URL should be of the https://dbc-<an_alphanumeric_string>.cloud.databricks.com/ form. Finally, for Databricks on GCP, the URL should be of the https://<an_alphanumeric_string>.gcp.databricks.com/ form.

Upon successfully logging in, you should see a sidebar on the left-hand side. This sidebar is the key to navigating the Databricks...