Abstract: A method may include applying periodically a data validation rule to data transformed through a data processing system, wherein the data validation rule applies aspects selected from a group consisting of data value range, specific data values, and relationship with other data entries; responsive to detecting a violation of the data validation rule, identifying a portion of the transformed data for lineage assessment; examining the identified transformed data iteratively upstream at a previous transformation node in a lineage graph, until the method detects a node where the violation of the data validation rule can't be reproduced; creating a separate node in a distributed network for each of the previous transformation nodes in the lineage graph; and identifying the separate node in the distributed network introducing the violation of the data validation rule.

Abstract: Methods and systems for enterprise data integration are described. The methods and systems take elements of a data integration process typically operating in a batch-mode, transform the elements in real time, and expose the results as a service that can be accessed by a business enterprise in real time, and optionally also in batch mode. The service can be accessed through a graphical user interface, providing automatic data integration in real time without additional coding. The service can also operate with mobile devices.

Abstract: A system and method to support runtime model extension in an Object Relational Mapping (ORM) System. The system includes a relational data storage subsystem for storing and retrieving objects in form of relational data, a tuple storage subsystem for storing and retrieving objects in form of tuple, and a dispatcher/assembler for storing and retrieving original part and extended part of the object respectively into/from the relational data storage subsystem and the tuple storage subsystem. Thus, model extension can be carried out dynamically in the runtime of the ORM system without modifying schema and migrating data in the relational database.

Abstract: Services such as product services, real-time services, and common services are deployed in a services oriented architecture. These services may, for example, be deployed for use in a variety of enterprise data integration functions.

Abstract: Methods and systems for enterprise data integration are described. The methods and systems take elements of a data integration process typically operating in a batch-mode, transform the elements in real time, and expose the results as a service that can be accessed by a business enterprise in real time, and optionally also in batch mode. The service can be accessed through a graphical user interface, providing automatic data integration in real time without additional coding. The service can also operate with mobile devices.