Update stream-analytics-get-started-with-azure-stream-analytics-to-process-data-from-iot-devices.md

fixed ambiguity on scenario

Author: enkrumah

articles/stream-analytics/stream-analytics-get-started-with-azure-stream-analytics-to-process-data-from-iot-devices.md

@@ -5,7 +5,7 @@ author: enkrumah
 ms.author: ebnkruma
 ms.service: stream-analytics
 ms.topic: how-to
-ms.date: 11/26/2019
+ms.date: 03/23/2022
 ---
 # Process real-time IoT data streams with Azure Stream Analytics
 
@@ -31,7 +31,7 @@ In this example, the data is generated from a Texas Instruments sensor tag devic
 }  
 ```
 
-In a real-world scenario, you could have hundreds of these sensors generating events as a stream. Ideally, a gateway device would run code to push these events to [Azure Event Hubs](https://azure.microsoft.com/services/event-hubs/) or [Azure IoT Hubs](https://azure.microsoft.com/services/iot-hub/). Your Stream Analytics job would ingest these events from Event Hubs and run real-time analytics queries against the streams. Then, you could send the results to one of the [supported outputs](stream-analytics-define-outputs.md).
+In a real-world scenario, you could have hundreds of these sensors generating events as a stream. Ideally, a gateway device would run code to push these events to [Azure Event Hubs](https://azure.microsoft.com/services/event-hubs/) or [Azure IoT Hubs](https://azure.microsoft.com/services/iot-hub/). Your Stream Analytics job would ingest these events from Event Hubs or Iot Hubs and run real-time analytics queries against the streams. Then, you could send the results to one of the [supported outputs](stream-analytics-define-outputs.md).
 
 For ease of use, this getting started guide provides a sample data file, which was captured from real sensor tag devices. You can run queries on the sample data and see results. In subsequent tutorials, you will learn how to connect your job to inputs and outputs and deploy them to the Azure service.
 
@@ -145,4 +145,4 @@ Here we use a **LEFT OUTER** join to the same data stream (self-join). For an **
 
 ## Conclusion
 
-The purpose of this article is to demonstrate how to write different Stream Analytics Query Language queries and see results in the browser. However, this is just to get you started. Stream Analytics supports a variety of inputs and outputs and can even use functions in Azure Machine Learning to make it a robust tool for analyzing data streams. For more information about how to write queries, read the article about [common query patterns](stream-analytics-stream-analytics-query-patterns.md).
+The purpose of this article is to demonstrate how to write different Stream Analytics Query Language queries and see results in the browser. However, this is just to get you started. Stream Analytics supports a variety of inputs and outputs and can even use functions in Azure Machine Learning to make it a robust tool for analyzing data streams. For more information about how to write queries, read the article about [common query patterns](stream-analytics-stream-analytics-query-patterns.md).