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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

Chapter 5: Integrating with Azure Key Vault, App Configuration, and Log Analytics

These days, most data processing or data ingestion pipelines read or write data from or to various external sources such as Azure Blob/ADLS Gen-2, SQL, Cosmos, and Synapse. To access these sources, you will need credentials. Storing these credentials, such as a storage account key or SQL password, in a notebook is not an option from a security standpoint and not a recommended approach when deploying these data ingestion or processing pipelines to production. To overcome these problems, Microsoft provides Azure Key Vault, where you can store credentials such as username and password, and access them securely from your notebooks. Apart from Key Vault, we can also use App Configuration to store these passwords and access them from Databricks notebooks.

By the end of this chapter, you will have learned how to create an Azure Key Vault from the Azure portal and the Azure CLI, as well as how to access Key...

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