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ETL with Azure Cookbook

You're reading from   ETL with Azure Cookbook Practical recipes for building modern ETL solutions to load and transform data from any source

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781800203310
Length 446 pages
Edition 1st Edition
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Authors (3):
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Christian Cote Christian Cote
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Christian Cote
Matija Lah Matija Lah
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Matija Lah
Madina Saitakhmetova Madina Saitakhmetova
Author Profile Icon Madina Saitakhmetova
Madina Saitakhmetova
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with Azure and SSIS 2019 2. Chapter 2: Introducing ETL FREE CHAPTER 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

Transforming data with Pig

This section is almost identical to the previous one. The only difference is that we're going to use Pig to do the transformations and use different containers in our storage.

Pig is a scripting language that can eat anything. This means that we can consume almost any type of file easily with Pig. However, there is a restriction on the file types we can use with the HDInsight version of Pig: The Parquet file cannot be used. This is because a library is missing in the out-of-the-box HDInsight cluster. For this reason, we will use a regular text file format in this recipe.

A lot of the steps in this section are similar to the steps shown in the previous recipe. If you completed all the recipes provided in the previous sections, some of them can be skipped. We'll indicate when this is the case.

Getting ready

This recipe requires that you have the following:

  • Visual Studio 2019 with the Integration Services extension installed
  • ...
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