Geospatial workflows have some of the most extreme requirements for fast capture & access. Quantum’s high-speed storage accelerates workflows and increases the number of projects that can be managed.
Increases in the resolution of video, rapid advances in sensor technologies, the democratization of satellite imagery with small sats, and innovations in data fusion—all add up to opportunity. But these technology advances have introduced storage challenges as organizations struggle to keep pace with the massive influx of imagery.
Geospatial teams today need both high-speed capture and shared access to critical data, at a scale never seen before.
Whether the mission is in defense, intelligence, emergency response, or humanitarian relief: geospatial analysts need to capture imagery, fuse together disparate sources of data, create a common operational picture—and turn the ISR data into actionable information.
Because today’s sensors and imagery are all location-based, geospatial coordinates provide the common denominator that GIS applications use to merge data together. And while GIS plays a central role in raising situational awareness, high-performance shared storage is also required to ensure that geospatial teams get access to the critical data they need—where, when, and how they need it.
The long-term value of geospatial data often lies in its power to be exploited in the future—not just when first collected. Which is why it’s important to preserve mission critical data for future analysis with a scalable storage solution that optimally balances performance, access, and economy. The ability to match the right storage technology to the right data at the right time provides powerful economic benefits in the face of today’s massive data growth.
When you’re managing petascale archives and need to ensure that data is preserved so that it can be connected to some future event—the right scale-out storage solution is invaluable.Learn more
The goal in GEOINT today is the same as ever: to derive useful intelligence from data. And while innovation is everywhere—in small sats, in 4K video, in sensors, in mobile, and in the analytics and data viz software that enables discovery—all this innovation is creating a ton of data that needs to be managed, analyzed, and connected.
Which is why we gave a talk at GEOINT to explore the challenges people face connecting all of these dots—and the bigger challenge recognizing which patterns of connected dots are meaningful. Miss the talk? No problem.Read the blog
Collaboration is a top priority for geospatial analysts. And Xcellis workflow storage is designed to enable high-performance shared access to files—across different network topologies, across different client operating systems, and across different file sharing protocols. It’s not uncommon for StorNext file systems to be shared by hundreds of users—and with Lattus Object Storage, StorNext data can now be shared using cloud and HTTP REST protocols, too. No other storage platform provides the level of collaboration that is possible with StorNext.
About the earth, oceans, and atmosphere. This data needs to be processed and made available to climate researchers around the world.See their story