Data Architecture for IoT Communications and Analytics (GMT Timezone)
TDWI Speaker: David Loshin, President of Knowledge Integrity
Date: Wednesday, April 7, 2021
Time: 10:00 a.m. GMT
In an increasingly connected world, organizations need to raise their awareness of the opportunities for taking advantage of the Internet of Things (IoT). IoT is an architectural paradigm combining physical devices; embedded, massive network connectivity; data accumulation and analysis; and operational controls powered by integrated analytics.
A successful IoT deployment can lead to business performance optimization via harmonizing and coordinating activities through visibility of all the devices and nodes in the network. The foundation of a successful IoT implementation is a technical architecture that blends network connectivity with an information architecture for streaming, ingesting, filtering, and capturing data. This must be coupled with a means of analyzing the data, creating analytics models, and pushing those models back to the edge nodes in the IoT network.
Executing this vision demands organization and discipline when it comes to data management and oversight, and in this webinar we consider aspects of a data architecture for IoT communications and analytics. Attendees will learn about fundamental aspects of the data architecture necessary for IoT success, such as:
- Understanding data in motion
- Edge data collection and edge processing
- Practical aspects of scalable data ingestion
- Intelligent stream processing
- Unified governance across the networked environment
- Iterative refinement of integrated analytics