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ETL with Azure Cookbook

You're reading from  ETL with Azure Cookbook

Product type Book
Published in Sep 2020
Publisher Packt
ISBN-13 9781800203310
Pages 446 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Christian Cote Christian Cote
Profile icon Christian Cote
Matija Lah Matija Lah
Profile icon Matija Lah
Madina Saitakhmetova Madina Saitakhmetova
Profile icon Madina Saitakhmetova
View More author details
Toc

Table of Contents (12) Chapters close

Preface 1. Chapter 1: Getting Started with Azure and SSIS 2019 2. Chapter 2: Introducing ETL 3. Chapter 3: Creating and Using SQL Server 2019 Big Data Clusters 4. Chapter 4: Azure Data Integration 5. Chapter 5: Extending SSIS with Custom Tasks and Transformations 6. Chapter 6: Azure Data Factory 7. Chapter 7: Azure Databricks 8. Chapter 8: SSIS Migration Strategies 9. Chapter 9: Profiling data in Azure 10. Chapter 10: Manage SSIS and Azure Data Factory with Biml 11. Other Books You May Enjoy

Generating your first Azure Data Factory

Now we will hop on the cloud and start playing with Azure Data Factory. Working in Biml with Azure Data Factory is outside the realms of a BimlExpress add-on and requires the BimlStudio standalone application to work. For the purpose of Azure Data Factory recipes, you can install a trial version of BimlStudio, which will let you try it out for free for 30 days.

What I want to show in this recipe is how to generate and deploy a simple Data Factory in BimlStudio 2019. This Data factory will have two linked services, two datasets, and one Copy Activity that copies data from the source Http dataset to the sink Azure Data Lake Storage Gen2 dataset. The Http linked service is pointing to an open data source, https://cadatacatalog.state.gov/. We will also write a PowerShell script that will deploy this Data Factory code to Azure.

Getting ready

Download and install a trial version of the Varigence BimlStudio 2019 from https://varigence.com...

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