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

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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 set up an Azure DevOps pipeline for deploying notebooks

An Azure DevOps release pipeline provides users with an option to automate the process of deploying various Azure resources such as Azure Databricks and Azure SQL Database to different environments such as dev, test, UAT, and production. It helps project teams to streamline the process of deployment and have a consistent deployment framework created for all their deployments to Azure. We can use Azure DevOps release pipelines to deploy Azure Databricks artifacts such as notebooks and libraries to various environments.

Setting up the DevOps build and release pipeline will enable you to implement CI/CD for Azure Databricks notebooks.

Getting ready

Before getting started on this recipe, you should have completed the first recipe of this chapter where you integrated Azure DevOps with an Azure Databricks workspace. After you check in all your notebooks, you can move ahead with the next section of this recipe.

You...