International Business Machines Corporation

Souvik Majumdar

John Michael Ganci, Jr

James Edward Bostick

Shuvamoy Saha

David Scott Wenk

Ajay K Behuria

Craig M Trim

Ajoy Acharyya

A method and associated system for an automatically self-learning audit of a bidirectional synchronization means for synchronizing a source system and a target system. A processor identifies a mismatch between an element of production data of the source system and an analogous production-data element of the target system. If the mismatch is caused by an issue known to the synchronization means, the processor takes corrective action known to resolve the mismatch. Otherwise, the processor attempts to identify a resolution and, if successful, applies the resolution, teaches the resolution to the synchronization mechanism, records the solution, and resends data from the correct system to the incorrect system. If unable to identify a resolution, the processor implements a next-best solution that allows continued operation despite the unresolved mismatch. The processor then generates a report of the mismatch and continues searching for other mismatches in the loaded data models.

Analytics-based bidirectional database synchronization

Automatically self-learning bidirectional synchronization of a source system and a target system

A computer processor determines a schema that enables splitting of one or more elements of an XML file. The computer processor determines an XML file as a split candidate, based on one or more attributes of the one or more elements of the XML file. The computer processor splits the XML file at run-time into a plurality of subsets of the XML file, based on the one or more attributes of the one or more elements of the XML file, and the computer processor distributes the plurality of subsets of the XML file to a plurality of computing nodes of a computer processing system.

Processing large XML files by splitting and hierarchical ordering

A method, system, and computer program product for selectively disseminating content in social media are provided in the illustrative embodiments. Prior to a dissemination of the content, the content being prepared for the dissemination is detected. Using Natural Language Processing (NLP), the content is analyzed to identify a theme and a subject matter of the content. A set of data comprising data related to a set of social connections of a user in the social media is analyzed. A second theme resulting from analyzing a first data in the set of data is compared with the theme, the first data corresponding to a first social connection in the set of social connections. When the second theme matches the theme within a threshold, the first social connection is added to a selected sharing group. The content is disseminated to the selected sharing group.

Dynamic analytics controlled information dissemination in social media

A method and associated system for efficiently firing mapping and transform rules during a bidirectional synchronization of two or more systems. A processor loads a set of mapping and transform synchronization rules and a set of cross-reference tables. When an event message received from a source system identifies a revision to an element of the source system's data, the processor parses the message to identify the revised source-system data. The processor uses the cross-references to identify synchronization rules that are associated with the revised data element. If any of the identified rules requires an additional source-system data element or an extrinsic data element located at an external source, the processor retrieves those further identified data elements. The processor then looks up the synchronization procedure of the identified rules, packages it into a synchronization message, and sends the message to the target system.

Efficiently firing mapping and transform rules during bidirectional synchronization

A method and associated system for managing rules that synchronize operations of a source system and a target system. A set of linked worksheets is generated as a function of the internal logic of the synchronization rules and of worksheets that represent data models of the source and target systems. These generated worksheets describe and relate data elements of the data models, extrinsic data that is stored externally to the source and target systems, and logical procedures performed by the synchronization rules. When the source data model, the target data model, or a logical procedure is revised, the linked worksheets are updated in response to the revision and these updates automatically propagate across the synchronization rules and across other components of the source system, the target system, and the synchronization mechanism.

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Kolkata, India

Souvik Majumdar