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SQL Server 2017 Integration Services Cookbook

You're reading from  SQL Server 2017 Integration Services Cookbook

Product type Book
Published in Jun 2017
Publisher Packt
ISBN-13 9781786461827
Pages 558 pages
Edition 1st Edition
Languages
Authors (6):
Christian Cote Christian Cote
Profile icon Christian Cote
Dejan Sarka Dejan Sarka
Profile icon Dejan Sarka
David Peter Hansen David Peter Hansen
Profile icon David Peter Hansen
Matija Lah Matija Lah
Profile icon Matija Lah
Samuel Lester Samuel Lester
Profile icon Samuel Lester
Christo Olivier Christo Olivier
Profile icon Christo Olivier
View More author details
Toc

Table of Contents (18) Chapters close

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. SSIS Setup 2. What Is New in SSIS 2016 3. Key Components of a Modern ETL Solution 4. Data Warehouse Loading Techniques 5. Dealing with Data Quality 6. SSIS Performance and Scalability 7. Unleash the Power of SSIS Script Task and Component 8. SSIS and Advanced Analytics 9. On-Premises and Azure Big Data Integration 10. Extending SSIS Custom Tasks and Transformations 11. Scale Out with SSIS 2017

Introduction


Now, let's go for the real stuff! This chapter will cover many topics that will lay out the foundations of a simple and effective ETL solution. Over the years, I have seen many SSIS implementations and one of the goals of this chapter is to give the readers the following:

  • A simple but effective SSIS framework
  • SSIS development best practices
  • New data source integrations

All remaining chapters assume that we want to load a data warehouse that is a star schema with its staging area.

The source (operational) database used is AdventureWorksLT, an old well-known database. The following diagram describes the source database that we're going to use:

From this database, we'll insert data in a staging area and finally into a data warehouse. The staging area and the data warehouse will be separated in schemas in a database that we'll manage using SSDT.

The following diagram is the representation that describes the staging schema of the AdventureWorksLTDW database:

Not all tables are copied...

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