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

Index

A

activities

chaining and branching, within pipeline 56-59

rerunning 414-419

ADF libraries, for Python

reference link 19

ADF pipelines

creating, with Copy Data tool (CDT) 14, 15

creating, with Python 16-18

creating, with templates 22-24

performance tuning 464-470

ADF roles

Contributor 454

Data Factory Contributor 454

Monitoring Contributor 454

Owner 454

Reader 454

ADF scalability

leveraging 464-470

ADF templates

reference link 24

ADF triggers

references 77

ADF User Interface (UI) 7

ADX ingest queries

reference link 442

Airflow DAGs

running, with ADF 388-396

alerts

configuring, for Azure Data Factory runs 419-429

Amazon Web Services (AWS) 209

Apache Spark 176

Apache Spark pools

reference link 144

Application Programming Interface (API) connector 246

atomicity 188

Author interface 219, 398

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