Key characteristics of SDC Edge include:
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- Ultralight: Requires less than 5MB and does not need additional software (e.g. Java) to operate.
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- Platform-independent: Based on Go, SDC Edge runs on a broad range of operating systems, including Linux, OS X, Windows and Android.
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- Drag-and-drop dataflow design: Identical to StreamSets Data Collector, pipelines are built using origin, destination and transformation objects, with the option to plug in scripts and trigger custom code execution.
- Edge analytics: SDC Edge performs computations such as data normalization, redaction and aggregation, and is architected to support full-featured edge analytics, including machine and deep-learning models.
IoT and cybersecurity are both red-hot spaces for big data innovation. Applying machine learning and other analytic techniques to data aggregated from IoT sensors and devices can help in areas as diverse as factory equipment, construction, oil and gas, and medical devices. Cybersecurity applications benefit from applying advanced analytics to the vast quantities of data collected across a corporate network in order to detect imminent threats or attacks in progress.
