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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

Technical requirements

To get the most out of this chapter, you will need to have access to the following resources:

  • A Databricks workspace. Databricks SQL requires a Premium or higher level of subscription. Databricks SQL is currently available on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Provisioning a Databricks workspace is beyond the scope of this book. You can get started here: https://databricks.com/try-databricks.
  • Any modern internet browser. Databricks workspaces are accessed via browsers. Command-line interface and REST API-based access is also possible, but these are beyond the scope of this book. You can explore the CLI and REST API at your own pace by following the guide at https://docs.databricks.com/reference/command.html.

Note

The documentation links contain a switcher that allows you to navigate to the documentation links for the cloud of your choice. The core functionality of Databricks SQL is the same across...

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