13 февраля 2019 г.
Built-in machine learning models for anomaly detection in Azure Stream Analytics significantly reduces the complexity and costs associated with building and training machine learning models. This feature is now available for public preview worldwide.
12 февраля 2019 г.
Customers love Azure Stream Analytics for its ease of analyzing streams of data in movement, with the ability to set up a running pipeline within five minutes. Optimizing throughput has always been a challenge when trying to achieve high performance in a scenario that can't be fully parallelized.
4 февраля 2019 г.
Our goal in the Azure Stream Analytics team is to empower developers and make it incredibly easy to leverage the power of Azure to analyze big data in real-time. We achieve this by continuously listening for feedback from our customers and ship features that are delightful to use and serve as a tool for tackling complex analytics scenarios.
28 января 2019 г.
Do you know how to develop and source control your Microsoft Azure Stream Analytics (ASA) jobs? Do you know how to setup automated processes to build, test, and deploy these jobs to multiple environments?
4 декабря 2018 г.
Today, we are announcing the general availability of Azure Stream Analytics (ASA) on IoT Edge, empowering developers to deploy near-real-time analytical intelligence closer to IoT devices, unlocking the full value of device-generated data.
29 октября 2018 г.
We are excited to announce that live data local testing is now available for public preview in Azure Stream Analytics Visual Studio tools.
15 октября 2018 г.
Azure Stream Analytics is a fully managed service for real-time data processing. Stream Analytics jobs read data from input sources like Azure Event Hubs or IoT Hub. They can perform a variety of tasks from simple ETL and archiving to complex event pattern detection and machine learning scoring.
11 октября 2018 г.
Azure Stream Analytics is Microsoft’s serverless real-time analytics offering for complex event processing. It enables customers to unlock valuable insights and gain a competitive advantage by harnessing the power of big data.
15 ноября 2017 г.
Today, we are announcing the public preview of Azure Stream Analytics running on Azure IoT Edge. Azure Stream Analytics on IoT Edge empowers developers to deploy near-real-time analytical…
25 сентября 2017 г.
Today at Microsoft Ignite, we are pleased to announce the preview of several new and compelling capabilities in Azure Stream Analytics. These include built-in inline machine learning based anomaly…