You're reading from Azure Databricks Cookbook Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service

Product type Paperback

Published in Sep 2021

Publisher Packt

ISBN-13 9781789809718

Length 452 pages

Edition 1st Edition

Languages

SQL

Tools

Azure

Concepts

Data Streaming

Authors (2):

Raj

Jaiswal

View More author details

Table of Contents (12) Chapters

Preface

1. Chapter 1: Creating an Azure Databricks Service

2. Chapter 2: Reading and Writing Data from and to Various Azure Services and File Formats FREE CHAPTER

3. Chapter 3: Understanding Spark Query Execution

4. Chapter 4: Working with Streaming Data

5. Chapter 5: Integrating with Azure Key Vault, App Configuration, and Log Analytics

6. Chapter 6: Exploring Delta Lake in Azure Databricks

7. Chapter 7: Implementing Near-Real-Time Analytics and Building a Modern Data Warehouse

8. Chapter 8: Databricks SQL

9. Chapter 9: DevOps Integrations and Implementing CI/CD for Azure Databricks

10. Chapter 10: Understanding Security and Monitoring in Azure Databricks

11. Other Books You May Enjoy

Connecting Power BI to Databricks SQL

Databricks SQL provides built-in connectors for Power BI users to connect to objects in Databricks SQL. Power BI users can now connect to a SQL endpoint to get a list of all tables and can connect using the import or direct query mode.

In this recipe, you will learn how to connect to a SQL endpoint from Power BI.

Getting ready

Before starting the recipe, ensure you have executed both of the following notebooks. The following notebook creates the required tables on which we can build our visualizations and dashboard. You need to ensure you download the latest version of Power BI Desktop:

You can go through the following link which has the requirements for connecting Power...