Next-Gen Big Data

MapR highlights big data streaming capabilities for the Internet of Things


MapR Technologies (Booth 1418) provides the analytic backbone for organizations seeking to bolster their big data capabilities. The company’s Converged Data Platform enables the global storage and sharing of GEOINT products while supporting the next generation of image classification deep learning algorithms.

At GEOINT 2017, MapR is sharing a booth in the New Member Showcase with partner GeodataIT to discuss innovative solutions in big data, biometrics, and cybersecurity.

“MapR is showcasing how we can help with global data storage while simultaneously supporting [customer] needs to automate many tasks such as image classification, object characterization and moving toward object contextualization,” said MapR Field Marketing Manager Deborah Roszell.

The company is showing two primary items at the Symposium. The first is MapR Edge, a small footprint edition of the Converged Data Platform that addresses the need to capture, process, and analyze Internet of Things (IoT) data close to the source. MapR describes Edge as “the only big data streaming system to support global event replication reliably at IoT scale.”

The company is also demonstrating a global data fabric with microservice applications and streaming capabilities.

“MapR has a unique and exceptional offering that is really next-generation technology,” Roszell said. “The GEOINT Community will benefit from using our software and expertise to solve hard problems.”

Image courtesy of MapR


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