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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

Enabling CI/CD in an Azure DevOps build and release pipeline

As you have learned in the preceding recipes how to create DevOps pipelines and the concepts around the CI/CD process for Azure Databricks notebooks, in this recipe you will implement CI/CD for the Azure DevOps pipeline that you created in the How to set up an Azure DevOps pipeline for deploying notebooks recipe.

In this recipe, you will learn the entire process of how to enable a build to be triggered automatically when changes are merged to the main branch. Later, you will learn how to trigger the release pipeline automatically when the build succeeds, which will deploy the artifacts (notebooks) to the different Databricks workspaces.

Getting ready

Before getting started, you need to complete the following two recipes of this chapter:

  • How to set up an Azure DevOps pipeline for deploying notebooks
  • Deploying notebooks to multiple environments

The following is the flow for the automated CI/CD process...

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