Mercury Intelligence Systems (MIS)
supports the end-to-end processing of Big Data. This includes processes for
data ingestion, information processing, data storage, data retrieval, and
visualization and analysis tools. The Big Data analytic processing tools
are aimed at supporting both real-time and offline analytics, as well as
advanced analysis and visualization. Currently, many Big Data analytic
applications merely leverage offline batch processing (e.g., MapReduce) and
cannot support real-time analytic information processing. These offline batch
processes can have significant latencies and do not support the real-time needs
of many customers.
The services being developed by
MIS will provide a generic real-time processing framework capable of operating
as either a standalone system on custom hardware or as a portable software
solution. It will also support regular updates of the analytic processes, and
even dynamic updates based on information derived from offline processing
outputs. These same capabilities are also designed to support the necessary
security requirements for the Intelligence Community and Department of Defense.
Many features are also applicable in the commercial sector, where additional
fine-grained security is required to ensure that data is properly protected
(e.g., U.S. healthcare).