Book Image

Learning Informatica PowerCenter 10.x - Second Edition

By : Rahul Malewar
Book Image

Learning Informatica PowerCenter 10.x - Second Edition

By: Rahul Malewar

Overview of this book

Informatica PowerCenter is an industry-leading ETL tool, known for its accelerated data extraction, transformation, and data management strategies. This book will be your quick guide to exploring Informatica PowerCenter’s powerful features such as working on sources, targets, transformations, performance optimization, scheduling, deploying for processing, and managing your data at speed. First, you’ll learn how to install and configure tools. You will learn to implement various data warehouse and ETL concepts, and use PowerCenter 10.x components to build mappings, tasks, workflows, and so on. You will come across features such as transformations, SCD, XML processing, partitioning, constraint-based loading, Incremental aggregation, and many more. Moreover, you’ll also learn to deliver powerful visualizations for data profiling using the advanced monitoring dashboard functionality offered by the new version. Using data transformation technique, performance tuning, and the many new advanced features, this book will help you understand and process data for training or production purposes. The step-by-step approach and adoption of real-time scenarios will guide you through effectively accessing all core functionalities offered by Informatica PowerCenter version 10.x.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
Acknowledgement
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Source Qualifier transformation


Source Qualifier transformation acts as a virtual source in Informatica. When you drag a relational table or flat file in Mapping Designer, Source Qualifier transformation comes along. Source Qualifier is the point where Informatica processing actually starts. The extraction process starts from the Source Qualifier.

Note

Note that it is always recommended that the columns of Source and Source Qualifier match. Do not change the columns or their data type in the Source Qualifier. You can notice the difference in the data type in the Source Definition and Source Qualifier, which is because Informatica interprets the data in that way only.

To discuss Source Qualifier, let's take an example of the Joiner transformation mapping we created earlier.

As you can notice, there are two Source Qualifier transformations present in mapping: one for flat file and the other for relational database. You can notice that we have connected only three columns from the Source Qualifier...