Book Image

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

Book Image

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

Overview of this book

SQL Server Integration Services (SSIS) is a leading tool in the data warehouse industry - used for performing extraction, transformation, and load operations. This book is aligned with the most common methodology associated with SSIS known as Extract Transform and Load (ETL); ETL is responsible for the extraction of data from several sources, their cleansing, customization, and loading into a central repository normally called Data Warehouse or Data Mart.Microsoft SQL Server 2012 Integration Services: An Expert Cookbook covers all the aspects of SSIS 2012 with lots of real-world scenarios to help readers understand usages of SSIS in every environment. Written by two SQL Server MVPs who have in-depth knowledge of SSIS having worked with it for many years.This book starts by creating simple data transfer packages with wizards and illustrates how to create more complex data transfer packages, troubleshoot packages, make robust SSIS packages, and how to boost the performance of data consolidation with SSIS. It then covers data flow transformations and advanced transformations for data cleansing, fuzzy and term extraction in detail. The book then dives deep into making a dynamic package with the help of expressions and variables, and performance tuning and consideration.
Table of Contents (23 chapters)
Microsoft SQL Server 2012 Integration Services: An Expert Cookbook
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Merge and Union All transformations: combining input data rows


Merge and Union All transformation components are used to join data in the pipeline. This data may come from more than one source, or have been divided previously in the pipeline. The main reason we use these components is to avoid duplicate work in the pipeline because the data at this point forward has the same treatment.

The main differences between the two components are that Merge component requires input data sorted and it's not possible to have more than two inputs. There are sufficient reasons from consider this Merge component useless.

Getting ready

To get ready for this recipe, use the following steps:

  1. Open SQL Server Data Tools (SSDT) and create a new SSIS project.

  2. Provide a name and a location for the SSIS project and proceed.

  3. Select the package created by default and rename it to P01_UnionData.dtsx.

How to do it...

Consider a Data Warehousing scenario where data coming from two different sources need to be joined and then...