Leidos Assigned Patent
Correlating cloud-based big data in real-time for intelligent analytics and multiple end uses
By Francis Pelletier | November 5, 2018 at 2:20 pmLeidos, Inc., Reston, VA, has been assigned a patent (10,102,261) developed by
Cannaliato, Thomas James, Sykesville, MD, Decker, Joshua A., and Vahlberg, Matthew William, Severna Park, MD, for “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 February 20, 2018 (15/900,329).
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