Data analytics solutions often include a requirement to ingest and process streams of data. Stream processing differs from batch processing in that streams are generally boundless - in other words they are continuous sources of data that must be processed perpetually rather than at fixed intervals.
Azure Stream Analytics provides a cloud service that you can use to define a query that operates on a stream of data from a streaming source, such as Azure Event Hubs or an Azure IoT Hub. You can use an Azure Stream Analytics query to ingest the stream of data directly into a data store for further analysis, or to filter, aggregate, and summarize the data based on temporal windows.
In this exercise, you'll use Azure Stream Analytics to process a stream of sales order data, such as might be generated from an online retail application. The order data will be sent to Azure Event Hubs, from where your Azure Stream Analytics jobs will read the data and ingest it into Azure Synapse Analytics.
Before you start
You'll need an Azure subscription in which you have administrative-level access.
Review the Welcome to Azure Stream Analytics article in the Azure Synapse Analytics documentation.
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