Cleaning up the Ganges River with help from IoT
terça-feira, 21 de novembro de 2017
Springing from the Himalayan mountains and flowing into the Bay of Bengal, the Ganges has been the holy river of India for centuries.
terça-feira, 21 de novembro de 2017
Springing from the Himalayan mountains and flowing into the Bay of Bengal, the Ganges has been the holy river of India for centuries.
quarta-feira, 15 de novembro de 2017
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…
segunda-feira, 25 de setembro de 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…
quinta-feira, 7 de setembro de 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…
quarta-feira, 12 de outubro de 2016
Today we want to announce that we’ve just added the ability to test Stream Analytics queries in the “new” Azure portal. Here’s a quick look at how this works...
quarta-feira, 21 de setembro de 2016
We're happy to announce that Azure Stream Analytics now supports IoT Hub Operations Monitoring giving you an easy way to analyze the operations of your IoT devices.
terça-feira, 17 de maio de 2016
Azure Stream Analytics team is excited to announce Stream Analytics is now ISO 27001, ISO 27018 certified, HIPAA compliant, and in scope for EU Model Clauses.
quinta-feira, 28 de abril de 2016
Azure Stream Analytics is now available in Germany, and every other region where Azure is available.
quinta-feira, 21 de abril de 2016
Today we are pleased to announce the general availability of the integration between Azure Stream Analytics and Power BI.
segunda-feira, 14 de março de 2016
Our customers helped us shape this product so we wanted to share some of the interesting experiences built with Azure Stream Analytics.