Defense Big Data) Requirements WG Use Case Template Aug 11 2013 NBD(NIST Use Case Title Large Scale Geospatial Analysis and Visualization Vertical (area) Defense but applicable to many others – Author/Company/Email David Boyd/Data Tactics/ Actors/Stakeholders and Geospatial Analysts their roles and Decision Makers responsibilities Policy Makers Goals Support large scale geospatial data analysis and visualization. Use Case Description As the number of geospatially aware sensors increase and the number of geospatially tagged data sources increases the volume geospatial data requiring complex analysis and visualization is growing exponentially. Traditional GIS systems are generally capable of analyzing a millions of objects and easily visualizing thousands. systems often contain trillions of geospatial objects Today’s intelligence and need to be able to visualize and interact with millions of objects. Current Compute(System) Compute and Storage systems - Laptops to Large Solutions servers (see notes about clusters) Visualization systems - handhelds to laptops Storage Compute and Storage - local disk or SAN Visualization - local disk, flash ram Networking Compute and Storage - Gigabit or better LAN connection Visualization - Gigabit wired connections, Wireless including WiFi (802.11), Cellular (3g/4g), or Radio Relay Software Compute and Storage generally Linux or Win – Server with Geospatially enabled RDBMS, Geospatial server/analysis software ESRI – ArcServer, Geoserver Visualization - Windows, Android, IOS browser – based visualization. Some laptops may have local ArcMap. Big Data Data Source Very distributed. Characteristics (distributed/centralized) Volume (size) Imagery 100s of Terabytes – Vector Data 10s of Gigabytes but billions of points – Velocity Some sensors delivery vector data in NRT. (e.g. real time) Visualization of changes should be NRT. Variety Imagery (various formats NITF, GeoTiff, CADRG) (multiple datasets, Vector (various formats shape files, kml, text mashup) streams: Object types include points, lines, areas, polylines, circles, ellipses. Variability (rate of Moderate to high change)
Defense NBD(NIST Big Data) Requirements WG Use Case Template Aug 11 2013 Use Case Title Large Scale Geospatial Analysis and Visualization Vertical (area) Defense – but applicable to many others Author/Company/Email David Boyd/Data Tactics/ Actors/Stakeholders and their roles and responsibilities Geospatial Analysts Decision Makers Policy Makers Goals Support large scale geospatial data analysis and visualization. Use Case Description As the number of geospatially aware sensors increase and the number of geospatially tagged data sources increases the volume geospatial data requiring complex analysis and visualization is growing exponentially. Traditional GIS systems are generally capable of analyzing a millions of objects and easily visualizing thousands. Today’s intelligence systems often contain trillions of geospatial objects and need to be able to visualize and interact with millions of objects. Current Solutions Compute(System) Compute and Storage systems - Laptops to Large servers (see notes about clusters) Visualization systems - handhelds to laptops Storage Compute and Storage - local disk or SAN Visualization - local disk, flash ram Networking Compute and Storage - Gigabit or better LAN connection Visualization - Gigabit wired connections, Wireless including WiFi (802.11), Cellular (3g/4g), or Radio Relay Software Compute and Storage – generally Linux or Win Server with Geospatially enabled RDBMS, Geospatial server/analysis software – ESRI ArcServer, Geoserver Visualization - Windows, Android, IOS – browser based visualization. Some laptops may have local ArcMap. Big Data Characteristics Data Source (distributed/centralized) Very distributed. Volume (size) Imagery – 100s of Terabytes Vector Data – 10s of Gigabytes but billions of points Velocity (e.g. real time) Some sensors delivery vector data in NRT. Visualization of changes should be NRT. Variety (multiple datasets, mashup) Imagery (various formats NITF, GeoTiff, CADRG) Vector (various formats shape files, kml, text streams: Object types include points, lines, areas, polylines, circles, ellipses. Variability (rate of change) Moderate to high