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

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

DevOps is the core of any project/organization these days. DevOps enables organizations to build and quickly deploy their applications and solutions to various environments by providing a framework that can be used for seamless deployment. In this chapter, you will learn how Azure DevOps is used for Continuous Integration and Continuous Deployment for Azure Databricks notebooks. Knowing how Azure DevOps works is helpful as it will help you to plan, develop, deliver, and operate your end-to-end business applications.

In this chapter, we're going to cover the following main topics: