本视频不在 中文(简体) 中提供。本视频位于 English (US) 中。
Gaining Real-Time IoT Insights using Azure Stream Analytics, AzureML and PowerBI
Devices are becoming smarter and more connected, and the expectation of what can be done with the data generated and collected from these devices continues to evolve both in the commercial and consumer spaces. Whether you are doing health monitoring, building or home automation, social media analytics, application monitoring, energy management, manufacturing, etc., there are millions of events or messages being generated from devices from which you need to gain real-time insights. Azure Stream Analytics enables you to easily get these real-time insights by creating a scalable stream processing solution to analyze the content of these events, identify anomalies, trigger alerts, and power real-time dashboards. Stream Analytics is a fully managed real-time distributed stream computation service that provides low latency, scalable processing of streaming data in the cloud with an enterprise grade SLA. It provides a SQL-like language with built-in temporal semantics that dramatically lowers the bar of the developer expertise required to create your stream processing logic. Additionally it is optimized to provide users very low cost to get going and maintain real-time analytics solutions. Come learn how to use the power of Stream Analytics to create your real-time Internet of Things (IoT) solution in combination with Event Hubs, Azure Machine Learning and PowerBI.com.