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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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Toc

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 SQL Warehouses

In this chapter, we will focus on the compute layer of the Lakehouse architecture. The compute layer in Databricks SQL is called the SQL Warehouse. We will learn how to create SQL Warehouses and configure them for the best possible user experience. We will also learn how the computation layer is instantiated on demand when a user executes a query.

The primary audience of this chapter is the Database administrators and Databricks workspace administrator personas. That said, Data analyst personas will also benefit from this chapter by learning how their queries are executed, how to avoid common pitfalls, and how to get the best possible performance.

In this chapter, we will cover the following topics:

  • Understand the SQL Warehouse architecture
  • Creating and configuring SQL Warehouses
  • The art of SQL Warehouse sizing
  • Organizing and governing SQL Warehouses
  • Using Serverless SQL
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