Machine Learning user-defined function in Stream Analytics allows you to perform high throughput, low latency, real-time predictions, allowing you to act on insights which have a very short shelf-life.
Autoscaling allows you to define the minimum and maximum streaming units. Stream Analytics will automatically take care of dynamically optimizing the number of streaming units needed for your workload.
Azure Data Lake Analytics U-SQL runtime is upgrading from .NET Framework v4.5.2 to .NET Framework v4.7.2. This change introduces a small risk of breaking changes if you use U-SQL custom.
Beginning April 6, 2020, customers will be able to choose only 4-core or higher virtual machines (VMs) as head nodes for the new HDInsight clusters. Existing clusters will continue to…
With just 1 click, Event Hubs customers can easily visualize incoming streaming data and start writing Stream Analytics query from the Event Hubs portal.