Arcadia Data Breaks the Geospatial Analyses Barrier for IoT and Big Data

According to a recent press release, “Arcadia Data, provider of the first visual analytics software native to Apache™ Hadoop® and the cloud, today announced it has integrated the Mapbox GL vector mapping technology, enabling more granular visual geospatial analytics on data of a global scale, necessary for use cases such as IoT analytics, climate analysis, disease tracking, and car and fleet tracking. The integration delivers the power of advanced geospatial analytics capabilities in an easy-to-use, fully featured business intelligence (BI) platform architected for data lakes and for all users. Mapbox GL’s graphics processing unit (GPU)-based rendering engine, combined with the recently announced GPU-accelerated visualization by Arcadia Data creates the perfect blend of performance and scale in the hands of its users.”

The release continues, “The flagship Arcadia Data offering, Arcadia Enterprise, shows micro-segmented geographical boundaries in visual analytic dashboards. Users can visualize geospatial shapes that segment regions into various demographic parameters, such as socioeconomic factors and geopolitical conditions. Arcadia Data enables much more granular location analytics because of its ability to handle data at scale, allowing users to query billions of rows that represent millions of geospatial shapes. ‘Geospatial visualizations were previously limited by traditional technologies that could not scale to the data volumes and granularities that enterprises require today; the Arcadia Data and Mapbox integration changes all that,’ said Priyank Patel, co-founder and chief product officer, Arcadia Data. ‘We are excited about this advanced capability for our customers. It combines powerful mapping capabilities from Mapbox with our big data architecture to create an analytical environment free of the prior constraints of visualizing geospatial data. We look forward to working with Mapbox to further help customers with their geospatial analytics requirements’.”

Read more at Globe Newswire.

Image used under license from Shutterstock.com

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