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  • Informatica PowerCenter 9 Installation and Configuration Complete Guide
  • SCD Type 2 Implementation using Informatica PowerCenter
  • Informatica Performance Tuning Guide, Tuning and Bottleneck Overview - Part 1
  • Implementing Informatica PowerCenter Session Partitioning Algorithms
  • Informatica Performance Tuning Guide, Identify Performance Bottlenecks - Part 2

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Informatica PowerCenter Partitioning for Parallel Processing and Faster Delivery

Informatica PowerCenter Session Partitioning for parallel processing
In addition to a better ETL design, it is obvious to have a session optimized with no bottlenecks to get the best session performance. After optimizing the session performance, we can further improve the performance by exploiting the under utilized hardware power. This refers to parallel processing and we can achieve this in Informatica PowerCenter using Partitioning Sessions.
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Informatica Workflow Recovery with High Availability for Auto Restartable Jobs

Informatica Workflow Recovery with High Availability for Auto Restartable Jobs
Restartable ETL jobs are very crucial to job failure recovery, supportability and data quality of any ETL system. In one of our prior articles we discussed different design techniques for ETL restartability, independent of the ETL tool used. We can also implement restartability in an ETL job using Informatica PowerCenter workflow recovery capabilities. In this article lets see what is required to setup an informatica workflow for recovery.
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Processing Multibyte Characters Like UNICODE Characters in Fixed Width Files

Working with Multibyte Data in Fixed-Width Filess
Processing fixed width file in Informatica PowerCenter is not a big deal. But this can be bit tricky if the fixed file contins both multi byte and single byte characters such as unicode characters. This is because of the fact that fixed width flat files are byte oriented, which means the field width is measured in bytes. So if a single character takes two bytes for its representation, it will be treated as width two. In this article, lets see how such files are handled in Informatica PowerCenter.
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Pipeline Lookup Transformation, Beyond Relational and Flat File Data Sources

Pipeline Lookups, Beyond Relational and Flat FIle Data Sources
Lookup transformation is synonymous to SQL outer join, which is primarily used for relational and flat file data source lookups. But with the introduction of pipeline lookup, we can use all variety of data sources in the lookup transformation. This feature is really powerful just like Active Lookup Transformation. In this article lets see how pipeline lookup transformation can be configured in a mapping.
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User Defined Functions in Informatica PowerCenter

Re-Runnability for ETL Processes Which Uses Mapping Variables
Reusability is a great feature in Informatica PowerCenter which can be used by developers. Its general purpose is to reduce unnecessary coding which ultimately reduces development time and increases supportability. User Defined Functions is one among the reusability feature provided by Informatica PowerCenter. In this article lets understand User Defined Functions in detail.
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