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):

Vinod Jaiswal

Phani Raj

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

How to integrate Azure DevOps with an Azure Databricks notebook

Nowadays, DevOps is an integral part of any project and is heavily used for deploying the resources and artifacts to various environments apart from other services and features that Azure DevOps provides. Integrating Azure DevOps with Azure Databricks helps teams and organizations to source control the notebooks that can be used for collaborations and this enables the enterprise practice of Continuous Integration and Continuous Deployment for Azure Databricks resources and notebooks. In this recipe, you will learn how to integrate Azure DevOps with Azure Databricks.

Getting ready

Before starting with this recipe, you need to ensure that you have the resources created as mentioned in the Technical requirements section of the current chapter.

The Azure DevOps Services organization must be linked to the same Azure AD tenant that the Azure Databricks resource is part of. You need to set the Gitprovider to Azure DevOps...