HOW TO: Denormalize data in Informatica Cloud (IICS)?
Denormalization is process of converting rows into columns. Understand how to implement the denormalization of data in Informatica Cloud (IICS) mapping and in Oracle using SQL.
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XML vs JSON export in Informatica Cloud (IICS)
Learn how to export the tasks in in different ways in IICS, the differences in the metadata stored in XML and JSON and how to use it to our advantage.
Informatica Cloud Automation: Building Impact Analysis Tool
A complete guide to building Informatica Cloud Automation tool which automates the process of Impact analysis in IICS.
Joiner Transformation in Informatica Cloud (IICS)
Joiner Transformation is used to join data coming from two different data streams based on the condition and the join type defined in Informatica Cloud
Normalizer Transformation in Informatica Cloud (IICS)
Normalizer Transformation transforms one incoming row that contains multiple-occurring data into multiple output rows in Informatica Cloud
Union Transformation in Informatica Cloud (IICS)
Union Transformation in IICS is used to read data from multiple pipelines and merge data into a single pipeline.
Lookup Transformation in Informatica Cloud (IICS)
Lookup transformation is used to look up a database table or a flat file based on a condition and retrieve value from the lookup.
Informatica Cloud Data Integration (IICS) Transformations Guide
A complete guide to the Informatica Cloud (IICS) transformations and their functionalities.
Flow Run Order: Target Load Plan in Informatica Cloud (IICS)
Learn how to configure Flow Run Order in IICS to specify the order in which data Integration service process the data flows in a mapping
Overview of Partitioning in Informatica Cloud (IICS)
Complete overview of Partitioning in Informatica Cloud Data Integration and comparison with Powercenter partitioning.