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In most enterprise applications, data mapping and transformation is one of the most are complex and most important fields at the same timevital.
Very often, data Data from one system must be re-organized, enriched, validated and then transformed or mapped to another structure in order to be able to be passed often requires reorganization, enrichment, validation, and mapping to pass to another system. Pipelines are optimized for such tasks in order to simplify it as much as possible.
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For example you have multiple Inventory Items and you would like to aggregate them together into one Inventory Order data object:
This is a common pattern also mentioned by the enterprise integration pattern collection.
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Another possibility is to use the data.list.iterate command in order to enrich the items of a list while iterating them.
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