Complex Event Processing with Azure Stream Analytics
Duration: 60 minutes
Track: Analytics and Visualization
Azure Stream Analytics targets complex event streams (CEP’s) to deduce meaningful patterns. Most of the typical use cases for this product is when various devices and sensors are sending data for further processing.
This technology uses a T-SQL like syntax to express its intents. A language that most data-power users will be familiar with.
The biggest advantage of Stream Analytics is when events are being published to the Stream Analytics, the only thing that event publishers needs to know is which Event Bus or Blob storage to place the data. Stream Analytics will then fetch the data.
This talk is about the main concepts and solution architecture when using Azure Stream Analytics, and also how to use this technology together with MS SQL Server, Azure SQL Database and Power BI.
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