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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

Warehouse on the Lakehouse

Traditional data warehousing implementations are comprised of different components such as a staging area, operational data store, enterprise data warehouse, and data marts. Depending on the implementation of the system, these components may or may not be transparent to the user. One of the biggest mental leaps you must take when adopting the Lakehouse is how to translate these components to the Lakehouse.

In this chapter, we will learn how to design and implement these components on the Lakehouse using Delta Lake features and ETL design patterns of the Lakehouse.

In this chapter, we will cover the following topics:

  • Organizing data on the Lakehouse
  • Implementing data modeling techniques

The primary audience of this chapter is database administrators and data engineers who will be responsible for designing and implementing the data models corresponding to the different architectural components.

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