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Leidos Assigned Patent

Correlating cloud-based big data in real-time for intelligent analytics and multiple end uses

Leidos, Inc., Reston, VA, has been assigned a patent (9,922,107) developed by Cannaliato, Thomas James, Sykesville, MD, Decker, Joshua A., and Vahlberg, Matthew William, Severna Park, MD, for a “system and method for correlating cloud-based big data in real-time for intelligent analytics and multiple end uses.

The abstract of the patent published by the U.S. Patent and Trademark Office states: “A processing platform integrates ETL, extract, transform, and load, real time stream processing, and ‘big data’ data stores into a high performance analytic system that runs in a public or private cloud. The platform performs real time pre-storage enrichment of data records to form a single comprehensive record usable for analytics, searching and alerting. The platform further supports sharing of components and plug-ins and performs automatic scaling of resources based on real time resource monitoring and analysis.

The patent application was filed on November 21, 2016 (15/356,918).

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