Machine Learning in Azure Stream Analytics

Abstract

Azure Stream Analytics is an event-processing engine that allows users to analyze high volumes of data streaming from devices, sensors, and applications. Azure Stream Analytics can be used for Internet of Things (IoT) real-time analytics, remote monitoring and data inventory controls. However, Azure Stream Analytics is another component in Azure on which we could run machine learning. It is possible to use a machine learning model API created in Azure ML Studio inside Azure Stream Analytics for applying machine learning to streaming data from sensors, applications, and live databases. In this chapter, I will explain how to use machine learning inside Azure Stream Analytics. First, a general introduction to Azure Stream Analytics is given, then, a simple example of an Azure ML Studio API that is going to be applied to the stream data is presented.