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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

  1. 7/23/2015, Video, 0:16:48
    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...
  2. 10/6/2015, Video, 0:47:03
    Azure Stream Analytics, is an Azure Service that enables real-time insights over streaming data from devices, sensors, infrastructure, and applications. We recently announced...
  3. 12/5/2016, Video, 0:08:51
    Azure Stream Analytics – adding real-time capabilities to your applications
  4. 9/30/2016, Trainings
    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...
  5. 11/21/2016, Trainings
    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...
  6. 1/16/2017, Trainings
    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...
  7. 5/5/2017, Trainings
    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...
  8. 5/28/2015, Video, 0:58:45
    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...

Azure Stream Analytics News

7/7/2020, Service Updates
Azure Stream Analytics tools for Visual Studio Code now supports Visual Studio Codespaces.
5/20/2020, Service Updates
Azure Stream Analytics now supports the use of activity logs and resource logs for troubleshooting errors related to configuration, data, and both upstream and downstream services.
5/19/2020, Service Updates
Azure Stream Analytics jobs now have the ability to output to an existing SQL pool table in Azure Synapse Analytics, and to process throughput rates up to 200 MB/s.
2/19/2020, Azure Podcast
Senior Azure PM Varun Shandilya talks to the team about Spot VMs and gives us some great tips on tricks on when and how to leverage these low-cost VM SKUs. Media file:...
2/7/2020, Service Updates
Compatibility level 1.2 for Azure Stream Analytics jobs is now available.
2/7/2020, Service Updates
The MATCH_RECOGNIZE function is now available in Stream Analytics.
2/6/2020, Service Updates
Easily add anomaly detection capabilities to your Stream Analytics jobs without the requirement to develop and train your own machine learning models. Ready-to-use unsupervised learning ML models...
Anomaly detection plays a vital role in many industries across the globe, such as fraud detection for the financial industry, health monitoring in hospitals, fault detection and operating...