You're reading from Azure Data Engineering Cookbook Get well versed in various data engineering techniques in Azure using this recipe-based guide

Product type Paperback

Published in Sep 2022

Publisher Packt

ISBN-13 9781803246789

Length 608 pages

Edition 2nd Edition

Languages

SQL

Tools

Azure

Concepts

Data Engineering

Authors (3):

Ahmad Osama

Nagaraj Venkatesan

Luca Zanna

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Table of Contents (16) Chapters

Preface

1. Chapter 1: Creating and Managing Data in Azure Data Lake

2. Chapter 2: Securing and Monitoring Data in Azure Data Lake FREE CHAPTER

3. Chapter 3: Building Data Ingestion Pipelines Using Azure Data Factory

4. Chapter 4: Azure Data Factory Integration Runtime

5. Chapter 5: Configuring and Securing Azure SQL Database

6. Chapter 6: Implementing High Availability and Monitoring in Azure SQL Database

7. Chapter 7: Processing Data Using Azure Databricks

8. Chapter 8: Processing Data Using Azure Synapse Analytics

9. Chapter 9: Transforming Data Using Azure Synapse Dataflows

10. Chapter 10: Building the Serving Layer in Azure Synapse SQL Pool

11. Chapter 11: Monitoring Synapse SQL and Spark Pools

12. Chapter 12: Optimizing and Maintaining Synapse SQL and Spark Pools

13. Chapter 13: Monitoring and Maintaining Azure Data Engineering Pipelines

14. Index

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Mounting an Azure Data Lake container in Databricks

Accessing data from Azure Data Lake is one of the fundamental steps of performing data processing in Databricks. In this recipe, we will learn how to mount an Azure Data Lake container in Databricks using the Databricks service principal. We will use Azure Key Vault to store the Databricks service principal ID and the Databricks service principal secret that will be used to mount a data lake container in Databricks.

Getting ready

Create a Databricks workspace and a cluster, as explained in the Configuring the Azure Databricks environment recipe of this chapter.

Create a key vault in Azure and integrate it with Azure Databricks, as explained in the Integrating Databricks with Azure Key Vault recipe.

Create an Azure Data Lake account, as explained in the Provisioning an Azure Storage account using the Azure portal recipe of Chapter 1, Creating and Managing Data in Azure Data Lake.

Go to the Azure Data Lake Storage account...