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…
Thursday, September 7, 2017
Over the past decade very few industries have experienced the pace of transformation as much as the retail sector. Driven by competition from innovative online merchants, traditional retailers are…
Monday, July 17, 2017
As a part of our ongoing commitment to enable higher performance, and support customer requirements around data location, we’re pleased to announce that Azure Stream Analytics is now available in 3 additional regions: UK West, Canada Central, and Canada East.
Wednesday, February 1, 2017
Today, we are pleased to announce the roll-out of several compelling capabilities in Azure Stream Analytics. These include native support for geospatial functions, custom code with JavaScript, low latency dashboarding with Power BI and preview of Visual Studio integration and Job diagnostic logs. Additionally, effective today there will be no more ingress data throttling.