Acrolynx

Author: spelluru

articles/stream-analytics/capture-event-hub-data-parquet.md

@@ -43,7 +43,7 @@ Use the following steps to configure a Stream Analytics job to capture data in A
         :::image type="content" source="./media/capture-event-hub-data-parquet/edit-fields.png" alt-text="Screenshot showing sample data under Data Preview." lightbox="./media/capture-event-hub-data-parquet/edit-fields.png" :::
 1. Select the **Azure Data Lake Storage Gen2** tile to edit the configuration. 
 1. On the **Azure Data Lake Storage Gen2** configuration page, follow these steps:     
-    1. Select the subscription, storage account name and container from the drop-down menu. 
+    1. Select the subscription, storage account name, and container from the drop-down menu. 
     1. Once the subscription is selected, the authentication method and storage account key should be automatically filled in.  
     1. Select **Parquet** for **Serialization** format. 
 
@@ -72,7 +72,7 @@ Use the following steps to configure a Stream Analytics job to capture data in A
 1. On the Event Hubs instance page for your event hub, select **Generate data**, select **Stocks data** for dataset, and then select **Send** to send some sample data to the event hub. 
 1. Verify that the Parquet files are generated in the Azure Data Lake Storage container. 
 
-    :::image type="content" source="./media/capture-event-hub-data-parquet/verify-captured-data.png" alt-text="Screenshot showing the generated Parquet files in the ADLS container." lightbox="./media/capture-event-hub-data-parquet/verify-captured-data.png" :::
+    :::image type="content" source="./media/capture-event-hub-data-parquet/verify-captured-data.png" alt-text="Screenshot showing the generated Parquet files in the Azure Data Lake Storage container." lightbox="./media/capture-event-hub-data-parquet/verify-captured-data.png" :::
 1. Select **Process data** on the left menu. Switch to the **Stream Analytics jobs** tab. Select **Open metrics** to monitor it. 
 
     :::image type="content" source="./media/capture-event-hub-data-parquet/open-metrics-link.png" alt-text="Screenshot showing Open Metrics link selected." lightbox="./media/capture-event-hub-data-parquet/open-metrics-link.png" :::

articles/stream-analytics/no-code-filter-ingest-data-explorer.md

@@ -22,7 +22,7 @@ This article describes how you can use the no code editor to easily create a Str
 1. In the [Azure portal](https://portal.azure.com), locate and select the Azure Event Hubs instance.
 1. Select **Features** > **Process Data** and then select **Start** on the **Filter and store data to Azure Data Explorer** card.
 
-    :::image type="content" source="./media/no-code-filter-ingest-data-explorer/event-hub-process-data-templates.png" alt-text="Screenshot showing the Filter and ingest to ADLS Gen2 card where you select Start." lightbox="./media/no-code-filter-ingest-data-explorer/event-hub-process-data-templates.png" :::
+    :::image type="content" source="./media/no-code-filter-ingest-data-explorer/event-hub-process-data-templates.png" alt-text="Screenshot showing the Filter and ingest to Azure Data Lake Storage Gen2 card where you select Start." lightbox="./media/no-code-filter-ingest-data-explorer/event-hub-process-data-templates.png" :::
 
 1. Enter a name for the Stream Analytics job, then select **Create**.  
 

articles/stream-analytics/no-code-materialize-cosmos-db.md

@@ -45,7 +45,7 @@ To start the job, you must specify:
 
 ## Next steps
 
-Now you know how to use the Stream Analytics no code editor to develop a job that reads from Event Hubs and calculates aggregates such as counts, averages and writes it to your Azure Cosmos DB resource.
+Now you know how to use the Stream Analytics no code editor to develop a job that reads from Event Hubs and calculates aggregates such as counts, averages, and writes it to your Azure Cosmos DB resource.
 
 * [Introduction to Azure Stream Analytics](stream-analytics-introduction.md)
 * [Monitor Stream Analytics job with Azure portal](./stream-analytics-monitoring.md)