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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

Summary

In this chapter, we put on the lens of an end user of Databricks SQL – the business analyst or the data analyst – and learned about the features that enable end users to go through their daily workflows.

First, we learned how to build queries and visualizations and how to compose them into usable dashboards. After that, we learned how to put the dashboards to use with various sharing and alerting features. Finally, we learned how to administer and govern all these artifacts. We learned all this while navigating a hands-on example and compiled our very own operational dashboard.

In this chapter, we assumed that the required computation power is available to us to build and run queries and dashboards. In the next chapter, where we will cover SQL Warehouses, we will go behind the scenes and see how this computation power comes about and how to configure it for the best possible end user experience.

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