Abstract: A version manager that manages multiple versions of a logical data model. Each version of the logical data model exposes a data storage system using a corresponding semantic mapping set that for multiple logical data model entities, maps at least the logical data model entity to at least a corresponding physical data model entity of the data storage system. The logical data model itself may consistent of multiple constituent logical data models, each used for a different vertical to expose the same underlying storage system. The version manager corresponds each of one or more data consumers of the data storage system with a version of the logical data model. Accordingly, when requests come in from a particular data consumer, the corresponding version of the logical data model is used.

Abstract: The use of a data model index for assisting in efficient response to a data model query. The data model query identifies the data model itself and references the schema of the data model, rather than referencing the schema of the underlying data source. The index assists by correlating previous model queries on the data model and associated response to those previous model queries. Accordingly, if a similar model query is encountered, the response from the previous model query may still be considered fresh, the index may be used to more efficiently retrieve the results for the similar model query. A data management system may include multiple data models, each having a corresponding data model index.

Abstract: The present invention extends to methods, systems, and computer program products for brokering data access requests and responses. Aspects of the invention include a brokering pipeline that sequentially processes data access requests and data access responses. The brokering pipeline manages access authentications, request brokering, response rewrite, cache, and hosting multiple (e.g., business) entities.

Abstract: The present invention extends to methods, systems, and computer program products for brokering data access requests and responses. Aspects of the invention include a brokering pipeline that sequentially processes data access requests and data access responses. The brokering pipeline manages access authentications, request brokering, response rewrite, cache, and hosting multiple (e.g., business) entities.

Abstract: The present invention extends to methods, systems, and computer program products for brokering data access requests and responses. Aspects of the invention include a brokering pipeline that sequentially processes data access requests and data access responses. The brokering pipeline manages access authentications, request brokering, response rewrite, cache, and hosting multiple (e.g., business) entities.

Abstract: A version manager that manages multiple versions of a logical data model. Each version of the logical data model exposes a data storage system using a corresponding semantic mapping set that for multiple logical data model entities, maps at least the logical data model entity to at least a corresponding physical data model entity of the data storage system. The logical data model itself may consistent of multiple constituent logical data models, each used for a different vertical to expose the same underlying storage system. The version manager corresponds each of one or more data consumers of the data storage system with a version of the logical data model. Accordingly, when requests come in from a particular data consumer, the corresponding version of the logical data model is used.

Abstract: The present invention extends to methods, systems, and computer program products for brokering data access requests and responses. Aspects of the invention include a brokering pipeline that sequentially processes data access requests and data access responses. The brokering pipeline manages access authentications, request brokering, response rewrite, cache, and hosting multiple (e.g., business) entities.

Abstract: The use of a data model index for assisting in efficient response to a data model query. The data model query identifies the data model itself and references the schema of the data model, rather than referencing the schema of the underlying data source. The index assists by correlating previous model queries on the data model and associated response to those previous model queries. Accordingly, if a similar model query is encountered, the response from the previous model query may still be considered fresh, the index may be used to more efficiently retrieve the results for the similar model query. A data management system may include multiple data models, each having a corresponding data model index.