Transformation by Example (TBE) enables you to build recipe objects by mapping example output values for source values.
TBE leverages pattern-based matching and predictive transformation to derive transformations. When you provide explicit mappings of input value to output, the mapping is passed through predictive interaction transformation to determine the best possible matching pattern.
- For more information on patterns, see Overview of Pattern Matching.
- Predictive transformation is Transformation is a core component of
. Based upon user input, the platform provides one or more suggestions of ways in which to transform the data.
D s product
- In TBE, these suggestions are rendered as elements of the transformation in progress.
- For more information, see Overview of Predictive Transformation.