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
About the Authors
About the Reviewers

Conditional Split: dividing the data stream based on conditions

This recipe demonstrates the use of the Condition Split component, which is one of the most used components and is responsible for splitting data into several destinations. It's applied when data in a specific stage of the pipeline needs to follow a different path based on logical conditions. At a later stage all the data divided could be joined again using the Union All or even the Merge transformation referred in a later recipe in this chapter.

Getting ready

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

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

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

  3. Select the package created by default and rename it to P01_ConditionalSplit.dtsx.

How to do it...

In a Data Warehousing scenario, this component is not only very useful in order to apply business rules to the data extracted from sources, but also to apply some data quality validations...