IoT Analytics- Definition, Challenges, Devices, Connectivity protocols, data messaging protocols- MQTT, HTTP, CoAP, Data Distribution Services (DDS), IoT Data Analytics – Elastics Analytics Concepts, Scaling.
Cloud Analytics and Security, AWS / Azure /ThingWorx. Design of data processing for analytics, application of big data technology to storage, Exploring and visualizing data, solution for industry specific analysis problem.
Visualization and Dashboard – Designing visual analysis for IoT data- creating dashboard – creating and visualizing alerts – basics of geo-spatial analytics- vector based methods-raster based methods- storage of geo-spatial data-processing of geo spatial data- Anomaly detectionforecasting. case study: pollution reporting problem.
‘Predictive Analytics for Internet of Things’ is an elective course offered in M. Tech., in Computer Science and Engineering at School of Engineering, Amrita Vishwa Vidyapeetham.
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