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Azure Databricks Cookbook

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

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781789809718
Length 452 pages
Edition 1st Edition
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Authors (2):
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Vinod Jaiswal Vinod Jaiswal
Author Profile Icon Vinod Jaiswal
Vinod Jaiswal
Phani Raj Phani Raj
Author Profile Icon Phani Raj
Phani Raj
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Toc

Table of Contents (12) Chapters Close

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

Creating SQL endpoints

SQL endpoints are computation resources using which you can run SQL queries on data objects in Azure Databricks environments. SQL endpoints are fully managed SQL-optimized compute clusters that autoscale based on user load to support a better experience for user concurrency and performance. They are computing clusters, very similar to clusters that we have already used in the Azure Databricks environment.

Getting ready

Let's go through the permissions required for creating and managing SQL endpoints in the Azure Databricks workspace.

The user must have the Allow cluster creation permission in the Azure Databricks workspace. You can check this permission from Admin Console | the Users tab or the Groups tab depending on whether access needs to be granted to an individual user or group. Refer to the following screenshot from the workspace:

Figure 8.5 – Databricks SQL cluster creation

After permission is granted...

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