Book Image

Azure Data Factory Cookbook - Second Edition

By : Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton
4 (1)
Book Image

Azure Data Factory Cookbook - Second Edition

4 (1)
By: Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton

Overview of this book

This new edition of the Azure Data Factory book, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. There are updated and new recipes throughout the book based on developments happening in Azure Synapse, Deployment with Azure DevOps, and Azure Purview. The current edition also runs you through Fabric Data Factory, Data Explorer, and some industry-grade best practices with specific chapters on each. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out the solutions to them. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF. By the end of this book, you’ll be able to use ADF with its latest advancements as the main ETL and orchestration tool for your data warehouse projects.
Table of Contents (15 chapters)
13
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14
Index

Setting up roles and permissions with access levels in ADF

ADF is built on principles of collaboration, and to work effectively you will need to grant access privileges to other users and teams. By its very nature, ADF relies on integration with other services, therefore entities such as users, service principles, and managed identities will require access to resources within your ADF instance. User access management is a pivotal feature of ADF.

Similar to many Azure services, ADF relies on Role-Based Access Control (RBAC). RBAC enables fine-grained definitions of roles that can be granted, or assigned, to users, groups, service principals, or managed identities. These role assignments determine who can perform specific actions, such as viewing or making changes to pipelines, datasets, linked services, and other components, and ultimately govern access to your data workflows.

Imagine a scenario where a company is using ADF to orchestrate their data pipelines, which involves...