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Azure Data Factory Cookbook

Azure Data Factory Cookbook

By : Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton
4.9 (29)
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Azure Data Factory Cookbook

Azure Data Factory Cookbook

4.9 (29)
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)
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13
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14
Index

Configuring alerts for your Azure Data Factory runs

When a failure in data processing happens, we have to react as fast as possible to avoid impacting downstream processes. Azure Data Factory gives us tools to automate monitoring by setting up alerts to inform the engineers when there is a problem. We already introduced a custom email alert in the Branching and chaining recipe in Chapter 2, Orchestration and Control Flow. It sent a notification if that particular pipeline failed. In this chapter, we shall create an alert that will notify on-call engineers via email or a phone call whenever any of the pipelines in our data factory have a problem.

Getting ready

In order to follow this recipe and configure the alerts, we first need to register with the Insights resource provider:

  1. In the Azure portal, go to your subscription, and from the menu on the left, select Resource providers.
  2. Use the Filter by name… text field to search for the microsoft.insights...
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