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Azure Databricks Cookbook

You're reading from Azure Databricks Cookbook

Product type Book

Published in Sep 2021

Publisher Packt

ISBN-13 9781789809718

Pages 452 pages

Edition 1st Edition

Languages

Concepts

Authors (2):

Phani Raj

Vinod Jaiswal

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

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:

How to integrate Azure DevOps with an Azure Databricks notebook
Using GitHub for Azure Databricks notebook version control
Understanding the CI/CD process for Azure Databricks
How to set up an Azure DevOps pipeline for deploying notebooks
Deploying notebooks to multiple environments
Enabling CI...

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Authors (2)

Phani Raj

Phani Raj is an experienced data architect and a product manager having 15 years of experience working with customers on building data platforms on both on-prem and on cloud. Worked on designing and implementing large scale big data solutions for customers on different verticals. His passion for continuous learning and adapting to the dynamic nature of technology underscores his role as a trusted advisor in the realm of data architecture ,data science and product management.

See other products by Phani Raj

Vinod Jaiswal

Vinod Jaiswal is an experienced data engineer, excels in transforming raw data into valuable insights. With over 8 years in Databricks, he designs and implements data pipelines, optimizes workflows, and crafts scalable solutions for intricate data challenges. Collaborating seamlessly with diverse teams, Vinod empowers them with tools and expertise to leverage data effectively. His dedication to staying updated on the latest data engineering trends ensures cutting-edge, robust solutions. Apart from technical prowess, Vinod is a proficient educator. Through presentations and mentoring, he shares his expertise, enabling others to harness the power of data within the Databricks ecosystem.

See other products by Vinod Jaiswal

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