This tutorial shows the process of creating an Informatica PowerCenter mapping and workflow which pulls data from Flat File data sources and uses Joiner Transformation and Rank Transformation to build a consolidated sales report.
Couple of days back one of my friends mailed me and said, he is not able to process Arabic characters using Informatica PowerCenter workflow. You might have faced same issue in processing scripts such as Arabic, Hebrew, Chinese etc. Let discuss about how we can process such non English scripts in Informatica PowerCenter workflows.Continue Reading
In large data integration projects, it is quite common to source data from multiple systems, sources, regions etc... As the number of data sources increases, the ETL load time also increases, because of the increasing data volume. One way to reduce the load time is by running different ETL process in parallel. Informatica PowerCenter's capability to run workflow concurrently can be used in such scenarios to reduce the ETL load time.Continue Reading
Joiner Transformation can be used to achieve the functionality of SQL join Operation including full outer join. Additionally we can use Joiner to join data from heterogeneous data sources. But it is limited with the operators, which can be used in the join condition, it can use only 'equal to' operator in the join condition. In this article lets see how we can unlock this limitation using Informatica PowerCenter Active LookUp transformation.Continue Reading
This tutorial shows the process of creating an Informatica PowerCenter mapping and workflow which pulls data from Flat File data sources and use LookUp and Filter Transformation.
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