In this 11-video course, you will examine the architecture of IoT (Internet of Things) solutions and the essential approaches of integrating data sources. Begin by examining the required elements for deploying IoT solutions and its prominent service categories. Take a look at the capabilities provided and the maturity models of IoT solutions. Explore the critical design principles that need to be implemented when building IoT solutions and the cloud architectures of IoT from the perspective of Microsoft Azure, Amazon Web Services, and GCP (Google Cloud Platform). Compare the features and capabilities provided by the MQTT (Message Queuing Telemetry Transport) and XMPP (Extensible Messaging and Presence Protocol) protocols for IoT solutions. Identify key features and applications that can be implemented by using IoT controllers; learn to recognize the concept of IoT data management and the applied lifecycle of IoT data. Examine the list of essential security techniques that can be implemented to secure IoT solutions. The concluding exercise focuses on generating data streams.
Data Sources: Integration