IoTAnalytik
IoTAnalytik is the discipline of applying data analytics to the data generated by Internet of Things devices and networks to extract actionable insights for operations, product design, and business decision making. It covers the end-to-end lifecycle from data collection and integration to storage, processing, and visualization.
Analytic methods span descriptive, diagnostic, predictive, and prescriptive analytics. Real-time or near real-time processing is common
Key technologies include sensors and gateways, communication protocols such as MQTT and CoAP, time-series databases, stream
IoTAnalytik supports a range of applications, including predictive maintenance in manufacturing, energy optimization in smart grids,
Challenges include data quality and heterogeneity, interoperability, scalability, and the need for skilled data engineers and