Published: 01 March 2022
Designing IoT stream analytics is complicated by incompatible products and confusing terminology. This research will help data and analytics technical professionals overcome these challenges by analyzing reference architectures, examining integration patterns and describing low-code tools.
Most Internet of Things (IoT) stream analytics designs include three key components: an event broker, an event stream processing platform (ESP) and a machine learning inference engine. Using these three components, architects can design a multistage stream analytics pipeline that spans from the edge to the IoT platform.
A vast array of products can ingest, manage and analyze IoT event streams. But product incompatibility and confusing terminology can elongate the time needed to gain proficiency.
Diverse IoT deployment scenarios are pushing stream analytics requirements to the edge. But complex operational technology (OT) integration, immature edge analytics products and
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