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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

Product type Paperback

Published in Sep 2022

Publisher Packt

ISBN-13 9781803235332

Length 348 pages

Edition 1st Edition

Languages

SQL

Concepts

Business Intelligence

Author (1):

Vihag Gupta

View More author details

Table of Contents (21) Chapters

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

Why subscribe?

20. Other Books You May Enjoy

Technical requirements

For this chapter, you will need the following tools and functions:

A Databricks workspace that has a premium or higher subscription level.
Any modern internet browser.
VM quotas for creating a SQL Warehouse. The default small-size SQL Warehouse requires a minimum VM quota. If you are using your cloud account, ensure that your account has service limits to meet these. Having an insufficient quota will prevent the SQL Warehouses from starting up. You can review the required quotas at https://docs.databricks.com/sql/admin/sql-endpoints.html#cluster-size.

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Authors (1)

Vihag Gupta

Vihag Gupta

Vihag Gupta is a solutions architect with a specialization in cloud data platform architecture and design. He has a background in data engineering and a professional interest in machine learning. He loves getting hands-on and solving real business problems with technology. He graduated with a degree in information technology from PES University, Bengaluru, in 2011 and earned a degree in information systems management from Carnegie Mellon University, Pittsburgh, in 2016. He has worked at companies including Deloitte Consulting, DataSpark, and Qubole. He currently works at Databricks, helping clients bring their lakehouse platforms for analytics to life. Originally from Jharkhand, India, Vihag currently lives in Singapore with his wife and dog.

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