Knowledge-driven federated big data query and analytics platform

A system for querying a federated data store includes a metadata knowledge graph describing the contents and relationships among one or more underlying data stores, an interactive user interface receiving requests from a data consumer, a predefined constrainable query ('nodegroup') store c...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Cuddihy, Paul, Kumar, Vijay Shiv, Aggour, Kareem Sherif, Williams, Jenny Marie Weisenberg, Vinciquerra, Anthony Joseph
Format: Patent
Sprache:eng
Schlagworte:
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Beschreibung
Zusammenfassung:A system for querying a federated data store includes a metadata knowledge graph describing the contents and relationships among one or more underlying data stores, an interactive user interface receiving requests from a data consumer, a predefined constrainable query ('nodegroup') store containing predefined constrainable queries that define data subsets of interest across one or more of the underlying data repositories, a knowledge-driven querying layer generating and executing queries against the federated data store and merging responsive results, a scalable analytic execution layer receiving the search results from the federated data store and applying machine learning/artificial intelligence techniques to analyze the results, and a user interface presenting visualizations of raw or analyzed results to the consumer. A method and a non-transitory computer-readable medium are also disclosed.