Harnessing Big Data with GCS: Real-Time Geospatial Analytics Powered by IBM InfoSphere Streams and Esri ArcGIS
In today’s on-demand, technology-driven society, vast amounts of diverse information are readily available through communication outlets, sensor networks, and digital databases. One of the most significant challenges in information technology is to consolidate this data into a useful format that meets the speed of business operations. The incredible wealth of information presents a nearly untapped resource; when distilled, it reveals deep connectivity and data patterns essential for informed decision-making.
For missions where real-time data analysis is critical, every piece of information must be analyzed instantaneously and correlated with relevant data to extract value and enhance field decisions.
GCS is at the forefront of addressing this challenge, utilizing IBM’s InfoSphere Streams to rapidly analyze high-volume, high-variety, and high-velocity data streams. InfoSphere Streams can accommodate a substantial range of structured and unstructured streaming data sources, often referred to as “Big Data.” This includes diverse formats such as text, images, audio, VoIP, video, financial news, radio, police scanners, web traffic, email, chat, GPS data, financial transaction data, satellite data, sensors, badge swipes, and other digital information.
GCS recognizes the limitless potential of InfoSphere Streams to strengthen our country’s defense and intelligence systems through a C4IS MASINT approach, successfully tackling today’s growing data processing and storage challenges.
Our certified team of experts has pioneered the world’s first implementation that integrates IBM’s InfoSphere Streams with Esri’s ArcGIS system, paving the way for advanced geospatial analytics.
Our research and development team continually pushes the boundaries of what can be achieved with this emerging technology. Given our successes thus far, GCS is excited to further explore real-time geospatial analytics using the combined capabilities of Streams and ArcGIS.
You must be logged in to post a comment.