define outputs

articles/stream-analytics/stream-analytics-define-outputs.md

@@ -1,27 +1,27 @@
-<properties 
-	pageTitle="Define Outputs | Microsoft Azure" 
-	description="Understanding Stream Analytics Outputs" 
-	keywords="big data analytics,cloud service,internet of things,managed service,stream processing,streaming analytics,streaming data"
-	services="stream-analytics,documentdb,sql-database,event-hubs,service-bus,storage" 
-	documentationCenter="" 
-	authors="jeffstokes72" 
-	manager="paulettm" 
+<properties
+	pageTitle="Data transformation outputs: Options for storage, analysis | Microsoft Azure"
+	description="Learn about targeting Stream Analytics data transformation outputs to data storage options. Also, use Power BI for analysis results."
+	keywords="data transformation, analysis results, data storage options"
+	services="stream-analytics,documentdb,sql-database,event-hubs,service-bus,storage"
+	documentationCenter=""
+	authors="jeffstokes72"
+	manager="paulettm"
 	editor="cgronlun"/>
 
-<tags 
-	ms.service="stream-analytics" 
-	ms.devlang="na" 
-	ms.topic="article" 
-	ms.tgt_pltfrm="na" 
-	ms.workload="data-services" 
-	ms.date="12/01/2015" 
+<tags
+	ms.service="stream-analytics"
+	ms.devlang="na"
+	ms.topic="article"
+	ms.tgt_pltfrm="na"
+	ms.workload="data-services"
+	ms.date="12/01/2015"
 	ms.author="jeffstok"/>
 
-# Understanding Stream Analytics outputs
+# Target Stream Analytics data transformation outputs to analysis tools and data storage options
 
-When authoring a Stream Analytics job, one consideration is how the output of the job will be consumed. How are the consumers of the data transformation viewing the results of the Stream Analytics job? What tools will they be using to analyze the output? Is data retention or warehousing a requirement?
+When authoring a Stream Analytics job, consider how the data transformation output will be consumed. How will you view the results of the Stream Analytics job? What tools you use to show data analysis results? Is a data storage option a requirement?
 
-In order to enable a variety of application patterns, Azure Stream Analytics provides different methods for storing and viewing job outputs. This provides ease of viewing job output and flexibility in the consumption and storage of the job output for data warehousing and other purposes. Any output configured in the job, must exist before the job is started and events start flowing. For example, if you use Blob storage as an output, the job will not create a storage account automatically. It needs to be created by the user before the ASA job is started.
+In order to enable a variety of application patterns, Azure Stream Analytics has different options for storing output and viewing analysis results. This makes it easy to view job output and gives you flexibility in the consumption and storage of the job output for data warehousing and other purposes. Any output configured in the job must exist before the job is started and events start flowing. For example, if you use Blob storage as an output, the job will not create a storage account automatically. It needs to be created by the user before the ASA job is started.
 
 
 ## SQL Database ##
@@ -37,7 +37,7 @@ In order to enable a variety of application patterns, Azure Stream Analytics pro
 | Password | The password to connect to the database |
 | Table | The table name where the output will be written. The table name is case sensitive and the schema of this table should match exactly to the number of fields and their types being generated by your job output. |
 
-## Blob Storage ##
+## Blob storage ##
 
 Blob storage offers a cost-effective and scalable solution for storing large amounts of unstructured data in the cloud.  For an introduction on Azure Blob storage and its usage, see the documentation at [How to use Blobs](./articles/storage-dotnet-how-to-use-blobs.md).
 
@@ -116,7 +116,7 @@ There are a few parameters that are needed to configure Event Hub data streams a
 | Format | Only applicable for JSON type. Line separated specifies that the output will be formatted by having each JSON object separated by a new line. Array specifies that the output will be formatted as an array of JSON objects. |
 ## Power BI
 
-[Power BI](https://powerbi.microsoft.com/) can be used as an output for a Stream Analytics job to provide for a rich visualization experience for Stream Analytics users. This capability can be utilized for operational dashboards, report generation and metric driven reporting.
+[Power BI](https://powerbi.microsoft.com/) can be used as an output for a Stream Analytics job to provide for a rich visualization experience of analysis results. This capability can be used for operational dashboards, report generation and metric driven reporting.
 
 > [AZURE.NOTE] At this time, creation and configuration of Power BI outputs is not supported in the Azure Portal.