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

Data Flow best practices in Transformations


One of the main goals of transforming data is to do all those transformations in memory to achieve the best performance possible in spite of saving data temporarily to disk. For that reason, if the transform uses some type of component that forces any delay, its use should be reduced or even avoided. The SSIS components could be one of the following three types:

  • Row Transformations: This type of transformation does not block data in the pipeline. While new columns could be added, row transformations do not create any additional records and data is not blocked in the pipeline. Row transformations are also known as synchronous transformations because they reuse existing buffers and do not require data to be copied to a new buffer to complete the transformation. Some examples of this type of transformations are the Derived Column, Multicast, Lookup, Copy Column, Conditional Split, OLE DB Command, and several others that do not block Data Flow in...