Merge pull request #214432 from xujxu/update-asa-doc-to-add-more-information

update no-code editor doc

Author: LJSpiller

articles/stream-analytics/media/no-code-stream-processing/build-in-functions-managed-fields.png

@@ -13,9 +13,13 @@ ms.date: 10/12/2022
 
 You can process your real-time data streams in Azure Event Hubs by using Azure Stream Analytics. The no-code editor allows you to develop a Stream Analytics job without writing a single line of code. In minutes, you can develop and run a job that tackles many scenarios, including:
 
-- Filtering and ingesting to Azure Synapse SQL.
-- Capturing your Event Hubs data in Parquet format in Azure Data Lake Storage Gen2.
-- Materializing data in Azure Cosmos DB.
+- [Filtering and ingesting to Azure Synapse SQL](./filter-ingest-synapse-sql.md)
+- [Capturing your Event Hubs data in Parquet format in Azure Data Lake Storage Gen2](./capture-event-hub-data-parquet.md)
+- [Materializing data in Azure Cosmos DB](./no-code-materialize-cosmos-db.md)
+- [Filter and ingest to Azure Data Lake Storage Gen2](./filter-ingest-data-lake-storage-gen2.md)
+- [Enrich data and ingest to event hub](./no-code-enrich-event-hub-data.md)
+- [Transform and store data to Azure SQL database](./no-code-transform-filter-ingest-sql.md)
+- [Filter and ingest to Azure Data Explorer](./no-code-filter-ingest-data-explorer.md)
 
 The experience provides a canvas that allows you to connect to input sources to quickly see your streaming data. Then you can transform it before writing to your destination of choice in Azure.
 
@@ -139,7 +143,7 @@ The **Manage fields** transformation allows you to add, remove, or rename fields
 
 :::image type="content" source="./media/no-code-stream-processing/manage-field-transformation.png" alt-text="Screenshot that shows selections for managing fields." lightbox="./media/no-code-stream-processing/manage-field-transformation.png" :::
 
-You can also add new field with the **Build-in Functions** to aggregate the data from upstream. Currently, the build-in functions we support are some functions in **String Functions**, **Data and Time Functions**, **Mathematical Functions**. To learn more about the definitions of these functions, see [Built-in Functions (Azure Stream Analytics)](/stream-analytics-query/built-in-functions-azure-stream-analytics.md).
+You can also add new field with the **Build-in Functions** to aggregate the data from upstream. Currently, the build-in functions we support are some functions in **String Functions**, **Date and Time Functions**, **Mathematical Functions**. To learn more about the definitions of these functions, see [Built-in Functions (Azure Stream Analytics)](/stream-analytics-query/built-in-functions-azure-stream-analytics.md).
 
 :::image type="content" source="./media/no-code-stream-processing/build-in-functions-managed-fields.png" alt-text="Screenshot that shows the build-in functions." lightbox="./media/no-code-stream-processing/build-in-functions-managed-fields.png" :::
 
@@ -246,7 +250,7 @@ Under the **Outputs** section on the ribbon, select **CosmosDB** as the output f
 
 When you're connecting to Azure Cosmos DB, if you select **Managed Identity** as the authentication mode, then the Contributor role will be granted to the managed identity for the Stream Analytics job. To learn more about managed identities for Azure Cosmos DB, see [Use managed identities to access Azure Cosmos DB from an Azure Stream Analytics job (preview)](cosmos-db-managed-identity.md). 
 
-Managed identities authentication method is also supported in the Azure Cosmos DB output in no-code editor which has the same benefit as it is in above ADLS Gen2 output.
+Managed identities authentication method is also supported in the Azure Cosmos DB output in no-code editor that has the same benefit as it is in above ADLS Gen2 output.
 
 ### Azure SQL Database
 
@@ -263,9 +267,9 @@ For more information about Azure SQL Database output for a Stream Analytics job,
 
 With the real-time data coming through event hub to ASA, no-code editor can transform, enrich the data and then output the data to another event hub as well. You can choose the **Event Hub** output when you configure your Azure Stream Analytics job.
 
-To configure Event Hub as output, select **Event Hub** under the Outputs section on the ribbon. Then fill in the needed information to connect your event hub that you want to write data to.
+To configure Event Hubs as output, select **Event Hub** under the Outputs section on the ribbon. Then fill in the needed information to connect your event hub that you want to write data to.
 
-For more information about Event Hub output for a Stream Analytics job, see [Event Hubs output from Azure Stream Analytics](./event-hubs-output.md).
+For more information about Event Hubs output for a Stream Analytics job, see [Event Hubs output from Azure Stream Analytics](./event-hubs-output.md).
 
 ### Azure Data Explorer
 
@@ -302,7 +306,7 @@ After you add and set up any steps in the diagram view, you can test their behav
 
 :::image type="content" source="./media/no-code-stream-processing/get-static-preview.png" alt-text="Screenshot that shows the button for getting a static preview." lightbox="./media/no-code-stream-processing/get-static-preview.png" :::
 
-After you do, the Stream Analytics job evaluates all transformations and outputs to make sure they're configured correctly. Stream Analytics then displays the results in the static data preview, as shown in the following image.
+After you do, the Stream Analytics job evaluates all transformations, and outputs to make sure they're configured correctly. Stream Analytics then displays the results in the static data preview, as shown in the following image.
 
 :::image type="content" source="./media/no-code-stream-processing/refresh-static-preview.png" alt-text="Screenshot that shows the Data Preview tab, where you can refresh the static preview." lightbox="./media/no-code-stream-processing/refresh-static-preview.png" :::
 
@@ -380,4 +384,4 @@ Learn how to use the no-code editor to address common scenarios by using predefi
 - [Materialize data to Azure Cosmos DB](no-code-materialize-cosmos-db.md)
 - [Transform and store data to SQL database](no-code-transform-filter-ingest-sql.md)
 - [Filter and store data to Azure Data Explorer](no-code-filter-ingest-data-explorer.md)
-- [Enrich data and ingest to Event Hub](no-code-enrich-event-hub-data.md)
+- [Enrich data and ingest to Event Hubs](no-code-enrich-event-hub-data.md)