Big Data
Big Data
Center of Excellence for Geospatial Information Science (CEGIS)
Improved scientific instruments, increasing volume and lifecycle of sensors, and the passage of time all contribute to making the conveyance, cataloging, and analysis of large data sets more complex endeavors.
CEGIS research works to find efficient ways to access and process large and diverse datasets. We seek to optimize computation time and related storage requirements.
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2025 CEGIS Annual Research Meeting
The Center of Excellence for Geospatial Information Science (CEGIS) is proud to host the 2025 U.S. Geological Survey’s Center of Excellence for Geospatial Information Science (CEGIS) Annual Research Meeting July 22-24, 2025. The virtual calendar event is being hosted by the USGS Community for Data Integration (CDI) in collaboration with CEGIS and is invitation only. The annual research meeting is...
Big data
Big data typically refers to data sets that are too large to be dealt with by traditional data-related software. It can be difficult to move around, to maintain, to search, and to use effectively. Improved scientific instruments, increasing volume and lifecycle of sensors, and the passage of time all contribute to making the conveyance, cataloging, and analysis of large data sets more complex...