Every day, the National Geospatial-Intelligence Agency processes and represents a massive amount of images and different data from aerospace data facilities across the state. Although this was once our primary knowledge supply, the appearance of the internet and various notable technological advancements have led to an eruption in exploitable data sources-both distributed, and open source-and are revolutionizing the process NGA does business.
In order to most adequately and efficiently use these various sources, we are emerging our business processes by migrating to the cloud and grasp automation as a method of managing, capturing, and using this information.
In the past, our predecessor agencies performed imaging analysis on actual film, that had to be manually collected, organized, and stored, which was mainly restricted by physical space constraints. With the appearance of digital imaging analysis, we were able to enhance our ability to prepare, store, and retrieve data.
Shifting our data to a cloud environment where we can manage and use our data in close to real-time is the next logical progression for our GEOINT mission.
Along with increased knowledge storage and retrieval, cloud migration provides North American nation measurability to meet our customers' needs better. For instance, if a regional crisis dictates an outbreak in our analytic resource and application use, this scalability will accommodate that shift and facilitate an additional rapid response.
However, cloud migration isn't the sole approach NGA is trying toward the future; we are increasing automation through platforms like the NSG, the National System for Geospatial Intelligence, Data Analytic architecture Service, known as NDAAS, to enable processes like structured observation management, or SOM, and methods like activity-based intelligence, referred to as ABI.
The NDAAS platform, a part of NGA's GEOINT Services, could be a means of managing massive data and actualizing advanced analytics through machine-driven resource management and abstraction. Built on Apache Mesos, NDAAS provides North American nation greater gracefulness in programming and scaling whereas its containerization permits isolation of failed resources. To boot, progressive expansions and enhancements to the service are deployed rapidly; user load is scaled up and down quickly while not service interruption; and issues are mounted while not taking entire systems offline. Moving our knowledge to cloud surroundings where we will manage and use our knowledge in close to the period is that the next logical progression.