2019년 12월 17일 화요일
Processing Big data in real-time is an operational necessity for many businesses. Azure Stream Analytics is Microsoft’s serverless real-time analytics offering for complex event processing.
2019년 10월 29일 화요일
Azure Stream Analytics is a fully managed Platform as a Service (PaaS) that supports thousands of mission-critical customer applications powered by real-time insights.
2019년 2월 13일 수요일
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.
2019년 2월 12일 화요일
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.
2019년 2월 4일 월요일
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.
2019년 1월 28일 월요일
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?
2018년 12월 4일 화요일
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.
2018년 10월 29일 월요일
We are excited to announce that live data local testing is now available for public preview in Azure Stream Analytics Visual Studio tools.
2018년 10월 15일 월요일
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.
2018년 10월 11일 목요일
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.