Overview
Overview
The analysis and evaluation of data stored in fixed memory ("resting") can be performed via HDInsight, for example. However, IoT scenarios often require the evaluation of data streams, i.e., data "in motion." Stream Analytics covers precisely this requirement, enabling analysis of data streams in real-time, i.e., data streams can be monitored, and abnormalities in the data can be detected and reported during operation. Queries on the data streams can be formulated in an SQL-based language. Database specialists therefore have a familiar technology for analyzing data streams.
Getting Started
Getting Started
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Scott loves IoT devices, and today Santosh Balasubramanian hooks up a Raspberry PI to Azure Stream Analytics. Use a SQL-like language to ask questions of your IoT devices and...
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Azure Stream Analytics, is an Azure Service that enables real-time insights over streaming data from devices, sensors, infrastructure, and applications. We recently announced...
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Azure Stream Analytics – adding real-time capabilities to your applications
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Want to set up real-time analytic computations on data streaming from devices, sensors, websites, social media, apps, and more? Check out this demo-filled, hands-on Azure...
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Want to learn about cutting-edge data science technologies—Azure Machine Learning and Azure Stream Analytics? Join experts Christopher Harrison and Jeff Prosise for this...
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If you’d like to learn how to architect solutions in Cortana Intelligence Suite and how to build intelligence into your applications, don’t miss this workshop! Build an...
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Ready to learn more about Internet of Things (IoT)? Join expert Jeremy Foster for this Azure IoT overview, and find out how to get started. Explore the fundamentals of IoT and...
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Azure Stream Analytics removes the complexity of stream processing for developers by providing a SQL-like language for authoring queries.Learn how to build queries to perform...
