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Cyber Security Edge Analytics
For most, “analytics” represents a broad term, and rightfully so. As the prevailing winds of digital transformation continue to push interconnection to the digital edge, a plethora of real-time analytics requirements (and capabilities) have irreversibly raised the ante for immediately available insights on topics as far ranging as petroleum futures and retail purchasing trends to the depths of cyber security counter-intelligence. In a traditional sense, the in With the proliferation of digital edge services, how exactly is edge analytics defined and how does it differ from traditional analytics? Simply put, edge analytics is the collection, processing and analysis of data at the edge of a network(s), and in proximity to one or more sources of data (e.g., Internet of Things (IoT) sensor(s), cloud services, etc.). With an emphasis on interconnection and the evolution of the IoT, many industries such as retail, manufacturing, transportation and energy are generating vast amounts of data at the edge of the network. Edge analytics is data analytics in real-time, proximally adjacent to where data collection occurs. As a critical junction point for varied sources of data transfer, edge analytics often simultaneously functions as descriptive, diagnostic and/or predictive analytics.
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