Transformationslisten

Transformationslisten is a term used in German-speaking contexts to denote a structured collection or registry of transformation operations, rules, or procedures intended to convert data, models, or signals from a source form into a target form. They function as an ordered set of steps that a processing system applies to inputs to produce transformed outputs.

Typical items in a transformationsliste include several common elements: a unique identifier or name, a concise description, the input and output types, the operation type (such as mapping, calculation, normalization, filtering, or aggregation), and parameters that control the behavior. Many implementations also specify a guard or condition under which the transformation runs and the position of the item within the overall sequence, which determines the execution order.

Representations of transformationslisten vary by system but are commonly expressed as configuration data in JSON, YAML, or XML, or as declarative rules in a transformation language. Some environments implement them as executable functions or as model-driven engineering artifacts that can be applied to models, data sets, or media streams.

Applications of transformationslisten cover a range of domains, including data integration and ETL, data cleansing and normalization, data federation, and model-driven engineering for model-to-model or model-to-text transformations. They can also organize sequences of image or signal processing steps where each transformation alters or enriches the result.

Example items might include NormalizeDate (convert date strings to ISO format), RenameField (map input fields to standardized names), and ComputeAge (derive age from birth date). See also terms such as transformation rule, data mapping, ETL, and model transformation.