Description: Secondary inputs in Dataflow are those provided to a transformation in addition to the main input. In the context of data processing, these inputs allow for enriching, complementing, or modifying the data flow being processed. Secondary inputs are crucial for performing more complex operations, as they enable the combination of different data sources and the application of transformations that depend on multiple sets of information. For example, in a data analysis system, a main input could be a set of sales records, while secondary inputs might include inventory data or customer information. This allows for deeper analysis and insights that would not be possible using only the main input. Secondary inputs are particularly useful in scenarios where data from different origins needs to be correlated, thus facilitating the creation of more robust and comprehensive data models. In summary, secondary inputs are an essential component in data processing, as they expand the capabilities of transformations and allow for a more holistic analysis of information.
