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articles/stream-analytics/stream-analytics-introduction.md

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@@ -36,7 +36,7 @@ You can try Azure Stream Analytics with a free Azure subscription.
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Azure Stream Analytics is easy to start. It only takes a few clicks to connect to multiple sources and sinks, creating an end-to-end pipeline. Stream Analytics can connect to Azure Event Hubs and Azure IoT Hub for streaming data ingestion, as well as Azure Blob storage to ingest historical data. Job input can also include static or slow-changing reference data from Azure Blob storage or SQL Database that you can join to streaming data to perform lookup operations.
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Stream Analytics can route job output to many storage systems such as Azure Blob storage, Azure SQL Database, Azure Data Lake Store, and Azure CosmosDB. You can also run batch analytics on stream outputs with Azure Synapse Analytics or HDInsight, or you can send the output to another service, like Event Hubs for consumption or Power BI for real-time visualization.
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Stream Analytics can route job output to many storage systems such as Azure Blob storage, Azure SQL Database, Azure Data Lake Store, and Azure Cosmos DB. You can also run batch analytics on stream outputs with Azure Synapse Analytics or HDInsight, or you can send the output to another service, like Event Hubs for consumption or Power BI for real-time visualization.
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For the entire list of Stream Analytics outputs, see [Understand outputs from Azure Stream Analytics](stream-analytics-define-outputs.md).
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