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Stream Processing : Join Data Depending on Attribute Values
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"This video provides an overview of how to leverage the FME platform to join data (databases, APIs) to a high-volume stream. The goal is to enrich the unbounded data stream before committing it to disk which greatly increases the efficiency of your workflows and reduces the number of pre-processing steps.
In this example, a low-volume stream is joined to a database using an attribute as the key.
In this example, a low-volume stream is joined to a database using an attribute as the key.
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