Abstract: Embodiments of the present invention relate to a new method of entity integration using high-level scripting languages. In one embodiment, a method of and computer product for entity integration is provided. An entity declaration is read from a machine readable medium. The entity declaration describes an entity including at least one nested entity. An index declaration is read from a machine readable medium. The index declaration describes an index of nested entities. An entity population rule is read from a machine readable medium. The entity population rule describes a mapping from an input schema to an output schema. The output schema conforms to the entity declaration. A plurality of input records is read from a first data store. The input records conform to the input schema. The entity population rule applies to the plurality of records to create a plurality of output records complying with the output schema. An index of nested entities is populated. The index complies with the index declaration.

Abstract: Embodiments of the present invention relate to a new method of entity integration using high-level scripting languages. In one embodiment, a method of and computer product for entity integration is provided. An entity declaration is read from a machine readable medium. The entity declaration describes an entity including at least one nested entity. An index declaration is read from a machine readable medium. The index declaration describes an index of nested entities. An entity population rule is read from a machine readable medium. The entity population rule describes a mapping from an input schema to an output schema. The output schema conforms to the entity declaration. A plurality of input records is read from a first data store. The input records conform to the input schema. The entity population rule applies to the plurality of records to create a plurality of output records complying with the output schema. An index of nested entities is populated. The index complies with the index declaration.

Abstract: Methods and systems for improving a data transformation operation that converts a source data instance containing repeating elements into a target data instance having a user-specified structure, based solely on a user's specification of a target template. The methods and systems derive and calculate sub-iteration contexts by applying a selected heuristic to the source data instance and the target template, and use these sub-iteration contexts to create a target data instance having a repeating structure that agrees with the user-specified target template. The methods and systems can be customized by the selection of heuristic, and by the specification of explicit sub-iteration contexts that may override the derived contexts.

Abstract: Methods and systems for improving a data transformation operation that converts a source data instance containing repeating elements into a target data instance having a user-specified structure, based solely on a user's specification of a target template. The methods and systems derive and calculate sub-iteration contexts by applying a selected heuristic to the source data instance and the target template, and use these sub-iteration contexts to create a target data instance having a repeating structure that agrees with the user-specified target template. The methods and systems can be customized by the selection of heuristic, and by the specification of explicit sub-iteration contexts that may override the derived contexts.