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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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Index

Copying data from Amazon S3 to Azure Blob storage

In this recipe, you will learn how to copy data from an AWS S3 bucket to the Azure Blob storage container using a data factory.

Getting ready

This recipe requires you to have an AWS account and an S3 bucket. Refer to the Technical requirements section to find out how to set up a new AWS account if you do not have one. Once you have your AWS account set up, go to https://s3.console.aws.amazon.com/s3/ to create a bucket. Upload the sample CSV files from https://github.com/PacktPublishing/Azure-Data-Factory-Cookbook/tree/master/data to your bucket.

How to do it…

Rather than designing the pipeline in the Author tab, we will use the Copy Data Wizard. The Copy Data Wizard will walk you through pipeline creation step by step, and will create and run the pipeline for you:

  1. Go to the home page of Azure Data Factory and select Ingest tile to start the Copy Data Wizard.

    Figure 6.1 – Copy Data Wizard interface
  2. We need to define...

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