ACTIVE LookUp, To Unlock the Limitations of JOINER Transformation

ACTIVE LookUp, To Unlock the Limitations of JOINER Transformation

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.

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Working with Flat File Source, LookUp & Filter Transformation

Working with Flat File Source, LookUp & Filter Transformation

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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11 Ways to Make Informatica PowerCenter Code Reusable

11 Ways to Make Informatica PowerCenter Code Reusable

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. In this article lets see different options available in Informatica PowerCenter to make your code reusable.

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Working With Multiple Data Sources and Aggregator Transformation

Working With Multiple Data Sources and Aggregator Transformation

This tutorial shows the process of creating an Informatica PowerCenter mapping and workflow which pulls data from multiple data sources and summarize the data using Aggregator Transformation.

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Update Without Update Strategy for Better Session Performance

Update Without Update Strategy for Better Session Performance

You might have come across an ETL scenario, where you need to update a huge table with few records and occasional inserts. The straight forward approach of using LookUp transformation to identify the Inserts, Update and Update Strategy to do the Insert or Update may not be right for this particular scenario, mainly because of the LookUp transformation may not perform better and start degrading as the lookup table size increases.

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