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

Summary


To summarize, we started the chapter with the debugger, which helps you with debugging errors in your mapping. Using debugger, you can pinpoint an error in your mapping, using which you can easily resolve the issue. Next in the chapter, we discussed reusable transformation, which allows you to reuse a transformation across mappings. Reusable transformations are very important, as they save the time and effort of recreating the same transformations. Moving on in the chapter, we talked about Mapplets, which allow you to reuse groups of transformations, which, in turn, makes your mapping simpler by replacing multiple transformations with a single component. Also, Mapplets save you time and effort by allowing you to reuse existing components. Next in the line was the target load plan, using which you can set up the priority of loading the target tables in a single mapping. This is useful when loading the data maintaining the constraints. We also looked at some details about parameters...