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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

Loading data into a Big Data Cluster

In this recipe, you are going to design an SSIS package used to load data into a database hosted on the remote SQL Server instance.

The SSIS package contains two control flows:

  • One extracts key information from the line-of-business database, and loads it into a Staging database hosted in Azure
  • The other simulates a process that delivers data from a different source (for instance, managed by another department in your organization, or another organization altogether) and loads it into your Big Data Cluster that is also hosted in Azure

The objective of this SSIS package is to make the necessary data available at the remote location for further processing. The SSIS package that you are going to design in the last recipe of this chapter, entitled Extracting data from a Big Data Cluster, depends on the data made available by the package designed in this recipe.

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