Data collection by itself does not provide business values. IoT solutions must ingest, process, make decisions, and take actions to create value. This module focuses on data acquisition, data ingestion, and the data processing aspect of IoT solutions to maximize value from data.
As a device developer, you will learn about message types, approaches to serializing messages, the value of metadata and IoT Plug and Play to streamline data processing on the edge or in the cloud.
As a solution architect, you will learn about approaches to stream processing on the edge or in the cloud with Azure Stream Analytics, selecting the right storage based on the volume and value of data to balance performance and costs, as well as an introduction to IoT reporting with PowerBI.
The Internet of Things Event Learning Path is designed for Solution Architects, Business Decision Makers, and Development teams that are interested in building IoT Solutions with Azure Services. The content is comprised of 5 video based modules that approach topics ranging from IoT device connectivity, IoT data communication strategies, use of artificial intelligence at the edge, data processing considerations for IoT data, and IoT solutioning based on the Azure IoT reference architecture.
Each session includes a curated selection of associated modules from Microsoft Learn that can provide an interactive learning experience for the topics covered and may also contribute toward preparedness for the official AZ-220 IoT Developer Certification @ https://aka.ms/iotlp/certification.
This content may be reused as-is across partner, field, and third party events or modified to suit custom audiences. The video resources and presentation decks are open-source and can be found on GitHub @ https://aka.ms/iotlp
To discuss this module and other videos in the IoT ELP series, visit http://aka.ms/iotlp/blog to start a conversation with the creators of this content!