Big data have existed since the time of the cave man existed in physical paper and other analog forms (stone, papyrus, tape) and was largely inaccessible. With the inception of commercial Internet & new forms of commerce and social media, we can access information of "open source". Now technology can connect streaming and near real-time data to generate information very fast. Dynamic machine-learning algorithms can also help to discover hidden patterns and associations and graph databases has the ability to query and explore entities and their relationships in order to understand how opponent operates. It was also found that tools for geospatial analysis can help analysts to understand how events and groupings are related in space and time. To know more, please read the article by Mark Testoni (Writer at Homeland security today.us) -: http://www.hstoday.us/columns/critical-issues-in-national-cybersecurity/blog/big-data-analytics-from-forensics-to-foresight/d0c045fe32568eedefda4195d46472e6.html

Big data have existed since the time of the cave man existed in physical paper and other analog forms (stone, papyrus, tape) and was largely inaccessible. With the inception of Commercial Internet & new forms of commerce and social media, we can access information of "open source". Now technology can connect streaming and near real-time data to generate information very fast. Dynamic machine-learning algorithms can also help to discover hidden patterns and associations and graph databases has the ability to query and explore entities and their relationships in order to understand how opponent operates. It was also found that tools for geospatial analysis can help analysts to understand how events and groupings are related in space and time. To know more, please read the article by Mark Testoni (Writer at Homeland security today.us) -: http://www.hstoday.us/columns/critical-issues-in-national-cybersecurity/blog/big-data-analytics-from-forensics-to-foresight/d0c045fe32568eedefda4195d46472e6.html