Is the Normalizer transformation a passive or active transformation?

The Normalizer transformation is classified as a passive transformation because it does not change the number of rows that passes through it. Instead, it takes a single row of data and transforms it into multiple rows, based on the input data structure. This means that while the format of the data changes, the overall number of rows produced does not increase or decrease, which is a key characteristic of passive transformations.

In contrast, active transformations would affect the number of rows and can include functions that filter or aggregate data. Understanding the distinction between passive and active transformations is crucial for designing workflows in data integration tasks, as it influences how data is processed throughout the pipeline.

Thus, the classification of the Normalizer transformation as a passive transformation is accurate based on its behavior with rows during data processing.