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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
Authors (2):
Phani Raj Phani Raj
Profile icon Phani Raj
Vinod Jaiswal Vinod Jaiswal
Profile icon 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

Using Azure Data Factory (ADF) to orchestrate the E2E pipeline

ADF is a serverless data integration and data transformation Azure service. It's a cloud Extract Transform Load (ETL)/Extract Load Transform (ELT) service in the Microsoft Azure platform. In this recipe, we will learn how to orchestrate and automate a data pipeline using ADF.

Getting ready

Before starting with this recipe, you need to ensure that you have a valid Azure subscription, valid permission to create an ADF resource, and Azure Databricks workspace details with an access token.

Note

Explaining ADF is beyond the scope of this book and readers are expected to have basic knowledge of creating an ADF pipeline and how to schedule it.

How to do it…

In this section, we learn how to invoke a Databricks notebook in an ADF pipeline and how to schedule an E2E data pipeline using an ADF trigger.

  1. Open an ADF workspace from the Azure portal and click on the Author & Monitor link to...
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