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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

Using Business Intelligence Tools with Databricks SQL

Databricks SQL is a well-rounded, self-contained data analytics platform. It provides users such as analysts and data administrators with all the tools that are required for them to conduct their daily workflows. As we saw in the preceding chapters, pretty much everything can be done on Databricks SQL – exploratory data analysis, reports, dashboards, alerts, and more.

Despite all that, though, it is by no means a replacement for dedicated Business Intelligence (BI) tools such as Power BI, Tableau, Looker, or Qlik.

These BI tools can connect with Databricks SQL with simple, transparent mechanisms to query the data on the data lakehouse. In this chapter, we will focus on how to connect Databricks SQL to BI tools of your choice.

The primary audience of this chapter is analysts who want to use BI tools of their choice with Databricks SQL. The database administrator personas will also benefit from this chapter as it...

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