Azure Stream Analytics

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.

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?

In today’s high-productivity environment, processing large amounts of data each millisecond is becoming a common business requirement. This is why an internal Microsoft project named for “a trillion events per day” is now available under open-source as Trill.

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.

Deliver the right events to the right places with Event Domains, Avere vFXT for Azure for HPC workloads now generally available, Design patterns – IoT and aggregation, and more. Catch up on Azure in one post.

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.

Azure Stream Analytics is a fully managed “serverless” PaaS service in Azure built for running real-time analytics on fast moving streams of data.

Processing big data in real-time is now an operational necessity for many businesses. Azure Stream Analytics is Microsoft’s serverless real-time analytics offering for complex event processing.

Azure Stream Analytics is a serverless PaaS service in Azure to run real-time analytics on fast moving streams of data. Today, we are excited to announce several new features in Azure Stream Analytics.

Today, we are excited to announce the general availability of several features in Azure Stream Analytics. These features are designed to help address a variety of scenarios for both enterprise and non-enterprise customers alike.