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

Filter transformation


Filter transformation is used to remove unwanted records from the mapping. You define the filter condition in the filter transformation, based on which the records will be rejected or passed further in mapping.

A sample mapping showing the filter transformation is shown in the following screenshot:

The default condition in filter transformation is true. Based on the condition defined, if the record returns true, the filter transformation allows the record to pass. For each record that returns false, the filter transformation drops those records.

To add a filter transformation, double-click on the filter transformation, and click on the Properties tab as shown in the following screenshot:

Click on the button as shown in the preceding screenshot to open the expression editor to add the function for the filter condition. Add the required condition. We have used DEPARTMENT_ID=100 as the condition. This will allow records with DEPARTMENT_ID =100 to reach the target, rest all...