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Business Intelligence with Databricks SQL

You're reading from   Business Intelligence with Databricks SQL Concepts, tools, and techniques for scaling business intelligence on the data lakehouse

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803235332
Length 348 pages
Edition 1st Edition
Languages
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Author (1):
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Vihag Gupta Vihag Gupta
Author Profile Icon Vihag Gupta
Vihag Gupta
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Databricks SQL on the Lakehouse
2. Chapter 1: Introduction to Databricks FREE CHAPTER 3. Chapter 2: The Databricks Product Suite – A Visual Tour 4. Chapter 3: The Data Catalog 5. Chapter 4: The Security Model 6. Chapter 5: The Workbench 7. Chapter 6: The SQL Warehouses 8. Chapter 7: Using Business Intelligence Tools with Databricks SQL 9. Part 2: Internals of Databricks SQL
10. Chapter 8: The Delta Lake 11. Chapter 9: The Photon Engine 12. Chapter 10: Warehouse on the Lakehouse 13. Part 3: Databricks SQL Commands
14. Chapter 11: SQL Commands – Part 1 15. Chapter 12: SQL Commands – Part 2 16. Part 4: TPC-DS, Experiments, and Frequently Asked Questions
17. Chapter 13: Playing with the TPC-DS Dataset 18. Chapter 14: Ask Me Anything 19. Index 20. Other Books You May Enjoy

The Delta Lake

Up until this chapter, we were singularly focused on enabling you to use Databricks SQL. Now that we have accomplished that, let’s investigate the technologies that enable Databricks SQL to run your data warehousing workloads on what seems to be a data lake.

In this chapter, we will focus on the primary storage format of the Databricks Lakehouse —Delta Lake. Why should you care? You should care because, unlike other cloud data warehouses, the Databricks Lakehouse stores data in open storage formats such as Delta Lake, Parquet, Optimized Row Columnar (ORC), comma-separated values (CSV), and so on, instead of proprietary formats.

We will begin by understanding the challenges posed by using other storage formats, how they affect the business intelligence (BI) experience on traditional data lakes, and how the Delta Lake format addresses them. Then, we will learn about the performance boosters available with Delta Lake in Databricks.

The primary audience...

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