The Internet of Things (IoT) is an architectural paradigm combining an exploding number of different types of connected sensors and devices continuously generating and broadcasting data. The data can be processed to create integrated analytics models that can enhance and optimize new business initiatives.
This webinar explores some fundamental aspects of IoT data architecture that will continuously adapt to the dynamic nature of massive numbers of connected sensors and other end-point devices. We will examine IoT communication, data streaming, ingestion and analysis, and deployment of developed analytical models for automated and predictive decision making.
Attendees will learn about:
Understanding the dynamic nature of IoT data flows
The complexity of ingesting and analyzing IoT data