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

Summary

In this short but very important chapter, we learned how we can connect our preferred BI tools to Databricks SQL and query the data on the data lakehouse.

First, we learned about the various connection configurations that must be made. Then, we learned about the differences between validated and non-validated BI tool integrations. Finally, we learned about the Databricks Partner Connect feature, which simplifies the process of connecting our preferred BI tool with Databricks SQL.

Now, you should have a working understanding of Databricks SQL from an end user perspective, as well as an administrator’s perspective. You should be good to start working with Databricks SQL. Now, we will turn our attention to the core technology enablers that power Databricks SQL.

In the next chapter, Chapter 8, The Delta Lake, we will unpack the internals of the storage layer of the lakehouse and focus on the Delta Lake storage format. We will learn how it enables Data Warehouse...