International Business Machines Corporation

Douglas S Meil

Scott J McCallen

Timothy M Fox

Matthew Michael Pohlman

Jacob O Miller

Anyi Li

Matthew J Wollerman, Ii

Kaveh Noorbakhsh

Christopher L Crabtree

Maxwell T Hallum

Robert W Shields

Jill R Doty

James C Baiera

Daniel Kim

David A Kwasny

A system links data objects for common entities across source systems and includes at least one processor. The system compares data objects within each of a plurality of source systems to identify data objects associated with corresponding common entities. The identified data objects for each common entity within each of the plurality of source systems are linked to form a group of data objects for each common entity. The groups of data objects for each of the common entities are compared across the plurality of source systems to identify groups of data objects associated with common entities. The identified groups of data objects for common entities are linked across the plurality of source systems to form a set of data objects for each corresponding common entity. Embodiments of the present invention further include a method and computer program product for linking data objects for common entities across source systems.

Hierarchical association of entity records from different data systems

A method, a machine-readable storage medium and at least one processing device are provided for analyzing and tracking results of multiple conditions associated with a population criteria, which is evaluated for each entity of at least one entity. The at least one processing device performs analytics associated with the population criteria, which is evaluated for each entity. Results of the analyzing of the multiple conditions are selectively tracked by the at least one processing device. The at least one processing device presents the tracked results to indicate a status of the at least one entity with respect to the tracked analytics.

Evidence analysis and presentation to indicate reasons for membership in populations

In one embodiment, a system transfers data between source and target systems. The system receives a module including procedural logic for transforming source data of a source data model to a target data model to produce one or more target data objects for the target data model. The procedural logic is expressed by one or more elements of a domain specific language implemented by an underlying computer language. The one or more elements define mappings and structure for the one or more target data objects. The module is executed to produce the one or more target data objects for loading in the target system in accordance with the mappings and structure defined within the procedural logic by the one or more elements. Embodiments of the present invention further include a method and computer program product for transferring data between source and target systems in substantially the same manner described above.

Transforming and loading data from a source data system to a target data system

A system processes streaming data and includes at least one processor. The system may write streaming data received from a data source as messages in queues at a queuing cluster. The queuing cluster includes a coordinator node to direct the messages to non-coordinator nodes of the queuing cluster. The system may retrieve the data from the queues based on subscription of topics and store the retrieved data in a consumable repository.

Scalable event stream data processing using a messaging system

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Chagrin Falls, OH, United States of America

Douglas S Meil