In this chapter, we have introduced building real-world case studies involving Stream Analytics as a component of the Azure real-time data analytics platform by engaging in step-by-step guidance and demonstrating a real-life proof-of-concept: social sentiment analytics utilizing a Twitter live feed and smart Azure supervised machine learning models.
We also had an evaluation of Azure IoT Suite as a preconfigured business solution, specifying domains such as remote device telemetry monitoring using Stream Analytics with Azure data stack, building up solutions for a connected factory, and implementation steps of real-life SIM card fraud detection analytics with Azure Stream Analytics and the PaaSÂ (Platform as a Service) environment.Â
