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

Introduction


In real-world scenarios different data sources do not provide the same structure, so there is a need to unify them in a unique structure. There are some transformations in the SSIS Data Flow task that use complex ways to apply such changes on the data stream, we call them Advanced Transformations.

There are some times when values in each row in a specified column should be transformed into columns based on a key. The Pivot Transformation comes to our help in this scenario, and in case it is the other way round, the Unpivot Transformation can be applied.

There are many times when data from the source comes in a variety of values in strings, such as "MS SQL Server", "SQLServer", and "MSSQL"—different values but the same meaning. A Fuzzy operation can detect these cases and treat them appropriately. There are two Fuzzy Transformations that will be discussed in this chapter: Fuzzy Grouping and Fuzzy Lookup.

SSIS 2012 provides a new service to cleanse data based on a dictionary. The...