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  • Book Overview & Buying Learning Informatica PowerCenter 10.x
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Learning Informatica PowerCenter 10.x

Learning Informatica PowerCenter 10.x - Second Edition

By : Rahul Malewar
4.3 (4)
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Learning Informatica PowerCenter 10.x

Learning Informatica PowerCenter 10.x

4.3 (4)
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 (13 chapters)
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Optimization - Performance Tuning

Standing at the last chapter, you must be very clear with all the components and features of the Informatica tool. As with any other technology related to data, we need to understand the performance tuning of Informatica as well. It is necessary to follow the best practices to achieve the best performance out of your code. Similar to SQL tuning, which is done to enhance the performance of SQL query, we do performance tuning on Informatica. If you follow the best practices of Informatica, your code will be automatically tuned. There are many best practices that are recommended by Informatica-many of which we have already discussed in previous chapters. We will be talking about those best practices under this chapter as well to understand how to use them in order to achieve better performance.

When we talk about performance tuning, you need to find...

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