Tuesday, December 17, 2019
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.
Tuesday, October 29, 2019
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.
Tuesday, July 16, 2019
Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams. Thanks to zero-code integration with over 15 Azure services, developers and data engineers can easily build complex pipelines for hot-path analytics within a few minutes.
Tuesday, April 2, 2019
Azure Stream Analytics is a fully managed PaaS service that helps you run real-time analytics and complex event processing logic on telemetry from devices and applications. Numerous built-in functions available in Stream Analytics helps users build real-time applications using simple SQL language with utmost ease.
Wednesday, February 13, 2019
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.
Wednesday, September 26, 2018
This week at Microsoft Ignite 2018, we are excited to announce seven new features in Azure Stream Analytics (ASA).
Monday, July 9, 2018
Azure Stream Analytics is a fully managed “serverless” PaaS service in Azure built for running real-time analytics on fast moving streams of data. Today, a significant portion of Stream Analytics…
Tuesday, May 8, 2018
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.
Tuesday, January 30, 2018
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.
Monday, September 25, 2017
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…