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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

Creating and configuring SQL Warehouses

In this section, we’ll learn how to create or update SQL Warehouses. Specifically, we will learn about the configurations that are associated with SQL Warehouses. We will also learn what each configuration controls and how it contributes to the overall query experience. To begin, navigate to the SQL Warehouses page by clicking on the icon.

Click on the Create SQL Warehouse button to bring up the creation pop-up, like so:

Figure 6.3 – New SQL Warehouse

As you can see, there are four primary decisions to make when creating a SQL Warehouse. Let’s take a look.

Cluster size

When creating a SQL Warehouse, we must select its size. More accurately, we must select the size of the physical clusters that will constitute the SQL Warehouse. Refer to Figure 6.2 to see how multiple physical clusters constitute a SQL Warehouse.

Note

Going forward, we will use the terms SQL Warehouse size and cluster...

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