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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

The Databricks Product Suite – A Visual Tour

The Databricks Lakehouse platform is an expansive product that caters to personas such as data engineers, data scientists, and business analysts. It also caters to administrator personas such as platform administrators and database administrators. As we discuss core concepts in subsequent chapters, we will have to refer to other persona-specific features. Familiarity with the platform will allow us to navigate to the correct feature or function when referred.

In this chapter, we will take a visual tour of the Databricks Lakehouse platform, with an emphasis on the Databricks SQL product. We will use the official Lakehouse infographic from Figure 1.3 as our guiding light to navigate through the Databricks Lakehouse platform and introduce, at a very high level, the features and functionalities and how they fit together.

We will use screenshots throughout, and you are encouraged to navigate accordingly in your instance of Databricks...

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