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

Aggregator transformation


Aggregator transformation is used for calculations using aggregate functions on a column as against in expression transformation, which is used for row-wise manipulation.

You can use aggregate functions such as SUM, AVG, MAX, MIN in aggregator transformation.

Scenario for aggregator transformation: Use the EMPLOYEE oracle table as the source, and get the sum of salaries of all the employees in the target.

Perform the following steps to achieve the functionality:

  1. Import the source using the Employee Oracle table in the Source Analyzer, and create Target TGT_TOTAL_SALARY in Target Designer.
  2. Create mapping m_AGG_TOTAL_SALARY, and drag the source and target from the Navigator to Workspace. Create the aggregator transformation with the name AGG_TOTAL_SAL.
  3. As we need to calculate TOTAL_SALARY, drag only the SALARY column from the Source Qualifier to aggregator transformation, as shown here:
  4. Add a new column TOTAL_SALARY in the aggregator transformation to calculate the total...