Merge pull request #113626 from MikeRys/patch-6

Some minor changes

Author: tfosmark

articles/synapse-analytics/spark/spark-dotnet.md

@@ -6,14 +6,16 @@ services: synapse-analytics
 ms.service: synapse-analytics 
 ms.topic: conceptual
 
-ms.date: 04/15/2020 
+ms.date: 05/01/2020 
 ms.author: mamccrea 
 ms.reviewer: jrasnick
 ---
 
 # Use .NET for Apache Spark with Azure Synapse Analytics
 
-[.NET for Apache Spark](https://dot.net/spark) is free, open-source, and cross-platform .NET support for Spark. .NET for Apache Spark provides .NET bindings for Spark which allow you to access Spark APIs through C# and F#. With .NET for Apache Spark, you have the ability to write and execute user-defined functions for Spark using .NET. The .NET APIs for Spark enable you to access all aspects of Spark that help you analyze your data, including Spark SQL and Structured Streaming.
+[.NET for Apache Spark](https://dot.net/spark) provides free, open-source, and cross-platform .NET support for Spark. 
+
+It provides .NET bindings for Spark which allow you to access Spark APIs through C# and F#. With .NET for Apache Spark, you also have the ability to write and execute user-defined functions for Spark written in .NET. The .NET APIs for Spark enable you to access all aspects of Spark DataFrames that help you analyze your data, including Spark SQL, Delta Lake, and Structured Streaming.
 
 You can analyze data with .NET for Apache Spark through Spark batch job definitions or with interactive Azure Synapse Analytics notebooks. In this article, you learn how to use .NET for Apache Spark with Azure Synapse using both techniques. 
 
@@ -27,17 +29,11 @@ Visit the tutorial to learn how to use Azure Synapse Analytics to [create Apache
 
    ```dotnetcli
    cd mySparkApp
-   dotnet publish -c Release -f netcoreapp3.0 -r ubuntu.16.04-x64
+   dotnet publish -c Release -f netcoreapp3.1 -r ubuntu.16.04-x64
    ```
 
    **On Linux:**
 
-### .NET for Apache Spark in Azure Synapse Analytics notebooks
-
-When creating a new notebook, you choose a language kernel that you wish to express your business logic. There is kernel support for several languages, including C#.
-
-To use .NET for Apache Spark in your Azure Synapse Analytics notebook, select **.NET Spark (C#)** as your kernel and attach the notebook to an existing Spark pool.
-
    ```bash
    zip -r publish.zip
    ```
@@ -46,7 +42,7 @@ To use .NET for Apache Spark in your Azure Synapse Analytics notebook, select **
 
 Notebooks are a great option for prototyping your .NET for Apache Spark pipelines and scenarios. You can start working with, understanding, filtering, displaying, and visualizing your data quickly and efficiently. Data engineers, data scientists, business analysts, and machine learning engineers are all able to collaborate over a shared,  interactive document. You see immediate results from data exploration, and can visualize your data in the same notebook.
 
-### How to use notebooks
+### How to use .NET for Apache Spark notebooks
 
 When you create a new notebook, you choose a language kernel that you wish to express your business logic. There is kernel support for several languages, including C#. 
 
@@ -72,4 +68,4 @@ The following features are available when you use .NET for Apache Spark in the A
 
 * [.NET for Apache Spark documentation](/dotnet/spark?toc=/azure/synapse-analytics/toc.json&bc=/azure/synapse-analytics/breadcrumb/toc.json)
 * [Azure Synapse Analytics](https://docs.microsoft.com/azure/synapse-analytics)
-* [.NET Interactive](https://devblogs.microsoft.com/dotnet/creating-interactive-net-documentation/)
+* [.NET Interactive](https://devblogs.microsoft.com/dotnet/creating-interactive-net-documentation/)