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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

Organizing and governing SQL Warehouses

Organizations tend to have a sizeable number of data analysts working on various projects at the same time. Depending on the project, access to different data sources with varying data volumes will have to be accounted for. Depending on the staffing of the project, the number of concurrent users will also need to be accounted for. Depending on the sensitivity of the project, the access control to the work on the project will have to be accounted for. Finally, each project should be held accountable for the computation resources they incur.

The Databricks SQL platform is very flexible and accommodates all these considerations. Let’s start by looking at how SQL Warehouses are distributed to various users or projects.

SQL Warehouse assignment strategy

There are no set rules on how SQL Warehouses should be assigned to users. Databricks certainly does not want to restrict assignment strategies either. There are two levels to the assignment...

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