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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

The Data Catalog

The data catalog is the portal to the data layer of the Lakehouse. It exposes the various catalogs, databases, and tables to the end user for their consumption. In this chapter and the next, we will deep dive into the various facets of the data catalog.

In this chapter, we will explore the data catalog from the perspective of an end user. Here, end user refers to business intelligence analysts, data analysts, and users who are interested in exploring data and performing exploratory data analysis (EDA).

In this chapter, we will cover the following topics:

Understanding the data organization model in Databricks SQL
Exploring data visually with the data catalog
Exploring data programmatically with SQL statements

The rest of the chapter is locked

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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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