Azure Stream Analytics

Today, we are announcing that Microsoft has been named a Leader in The Forrester Wave™: Streaming Analytics, Q2 2021.

Over the past two years, customer feedback has made it clear that when data barriers are dissolved the impact of analytics grows exponentially.

The preview of Azure IoT Connector for FHIR—a fully managed and compliant feature of the Azure API for FHIR—is now available.

Live Video Analytics (LVA) provides a platform for you to build hybrid applications with video analytics capabilities. LVA offers the capability of capturing, recording, and analyzing live video and publishing the results to Azure services in the cloud and/or the edge.

Anomaly detection plays a vital role in many industries across the globe, such as fraud detection for the financial industry, health monitoring in hospitals, fault detection and operating environment monitoring in the manufacturing, oil and gas, utility, transportation, aviation, and automotive industries.

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.

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.

Accenture and Avanade won the 2019 Microsoft Internet of Things Partner of the Year award this past spring. At the Microsoft Inspire partner conference in July, Brendan Mislin, Managing Director, Industry X.

MATCH_RECOGNIZE in Azure Stream Analytics significantly reduces the complexity and cost associated with building, modifying, and maintaining queries that match sequence of events for alerts or further data computation.

Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams.

There is a lot more data in the world than can possibly be captured with even the most robust, cutting-edge technology. Edge computing and the Internet of Things (IoT) are just two examples of technologies increasing the volume of useful data.

Elasticity means services can expand and contract on demand. This means Microsoft Azure customers who are on a pay-as-you-go plan will reap the most benefit out of Azure services.