Homeland security, national defense, infrastructure management...
More than any commercial sector, the government's use of Big Data analytics is core to their mission. Areas ranging from complex medical studies, homeland security and governmental operations requires the analysis of massive volume of structured and unstructured data.
At the same time, governments worldwide are facing similar challenges of declining tax revenues, maintaining high levels of service and increasing demands efficiency, effectiveness, transparency and accountability.
In the dangerous world that we live in, defense and homeland security resources are finite, already stretched to the limit and government leaders must make difficult decisions and painful tradeoffs more often than ever before. Security no longer comes at any price and making the right decisions is more critical than ever.
Oceans of data already exist and the volume of data is increasing at rates that can no longer be economically analyzed with traditional business intelligence solutions. The previous "goal" of turning all of this data into actionable information is now a requirement as government must move from being reactive to proactive.
Government agencies have an immediate need to analyze data to discover patterns, reveal threats, monitor critical infrastructure systems and make daily decisions about security and operational direction.
While government agencies have been long time users of traditional BI solutions, these solutions lack the scalability, flexibility and cost effectiveness to keep pace with today's analytic needs and growing data volumes. Governments around the world are embracing the scalability, flexibility and cost-effectiveness of big data analytics to put critical information into the hands of managers. Government agencies are already using Datameer to identify security threats and optimize governmental operations.
"McAfee is pioneering threat intelligence on Hadoop, using Datameer tools to spot correlations among spam, malware, intrusion, and botnet computer security threats. DAS helps us to combine and correlate data from millions of sources participating in McAfee's Global Threat Intelligence network, enabling us to discover hidden patterns of abnormal behavior and proactively protect against new emerging threats. DAS bridges the gap between researchers and Hadoop by allowing them to easily run massively parallelized algorithms tapping into terabyte scale threat intelligence data."
Sven Krasser, Ph.D., Sr. Director
Data Mining Research McAfee, Inc.
