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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

Summary

In this chapter, we deviated from our usual personas of data analysts and database administrators. Instead, we put on the hat of data engineers who are responsible for delivering data to analysts and administrators. Data engineers are wholly responsible for optimizing the data layout on the Lakehouse so that data analysts get the best possible query experience.

That said, we saw how the inputs of data analysts will be integral to getting the data layout correct. Inputs on query-filtering patterns, ordering of data columns, and frequency of optimizations are required for data engineers to make the best decisions.

In this chapter, we learned how Delta Lake is the storage layer for Databricks SQL. We learned how it provides the best out-of-the-box query experience. We also learned about additional features in Delta Lake that can elevate query performance even more. Finally, we discussed the internal workings of Delta Lake and how it enables all the features that Delta Lake...

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