4 new features now available in Azure Stream Analytics

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Community Manager

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.

 

Native support for windowing functions is a key capability in Azure Stream Analytics that helps developers author complex stream processing logic on temporal windows. Historically, Stream Analytics offered Tumbling, Hopping and Sliding windows to perform temporal operations on streaming data. Today, we announce a brand new window type known as session window. Unlike the three existing window types, a session window creates dynamic temporal windows of variable sizes based on the batches of incoming data. It therefore allows users to filter out periods of time where there is no data. With three main parameters: timeout, maximum duration and partitioning key (optional), it helps developers easily build solutions for scenarios such as clickstream analytics, connected car telemetry and many more.

 

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Read more about it in the Azure blog.

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