Merge pull request #88535 from dagiro/cats94

cats94

Author: ShannonLeavitt

articles/hdinsight/spark/apache-spark-use-with-data-lake-store.md

@@ -20,7 +20,6 @@ In this article, you use [Jupyter Notebook](https://jupyter.org/) available with
 
 * Azure HDInsight Spark cluster with Data Lake Storage Gen1 as storage. Follow the instructions at [Quickstart: Set up clusters in HDInsight](../../storage/data-lake-storage/quickstart-create-connect-hdi-cluster.md).
 
-	
 ## Prepare the data
 
 > [!NOTE]  
@@ -52,7 +51,7 @@ If you created an HDInsight cluster with Data Lake Storage as additional storage
 
 ## Use an HDInsight Spark cluster with Data Lake Storage Gen1
 
-1. From the [Azure Portal](https://portal.azure.com/), from the startboard, click the tile for your Apache Spark cluster (if you pinned it to the startboard). You can also navigate to your cluster under **Browse All** > **HDInsight Clusters**.
+1. From the [Azure portal](https://portal.azure.com/), from the startboard, click the tile for your Apache Spark cluster (if you pinned it to the startboard). You can also navigate to your cluster under **Browse All** > **HDInsight Clusters**.
 
 2. From the Spark cluster blade, click **Quick Links**, and then from the **Cluster Dashboard** blade, click **Jupyter Notebook**. If prompted, enter the admin credentials for the cluster.
 
@@ -115,7 +114,7 @@ If you created an HDInsight cluster with Data Lake Storage as additional storage
 
      You can also see the results in other visualizations as well. For example, an area graph for the same output would look like the following.
 
-     ![Area graph of query result](./media/apache-spark-use-with-data-lake-store/jupyter-area-output.png "Area graph of query result")
+     ![Area graph of query result](./media/apache-spark-use-with-data-lake-store/jupyter-area-output1.png "Area graph of query result")
 
 8. After you have finished running the application, you should shutdown the notebook to release the resources. To do so, from the **File** menu on the notebook, click **Close and Halt**. This will shutdown and close the notebook.
 

articles/hdinsight/spark/media/apache-spark-use-with-data-lake-store/jupyter-area-output.png renamed to articles/hdinsight/spark/media/apache-spark-use-with-data-lake-store/jupyter-area-output1.png

@@ -130,7 +130,7 @@ For an example topology that uses this component and works with Storm on HDInsig
 
 2. From the **New Project** window, expand **Installed** > **Templates**, and select **Azure Data Lake**. From the list of templates, select **Storm Application**. At the bottom of the screen, enter **WordCount** as the name of the application.
 
-    ![Screenshot of New Project window](./media/apache-storm-develop-csharp-visual-studio-topology/new-project.png)
+    ![Screenshot of New Project window](./media/apache-storm-develop-csharp-visual-studio-topology/apache-storm-new-project.png)
 
 3. After you have created the project, you should have the following files:
 
@@ -333,7 +333,7 @@ For an example topology that uses this component and works with Storm on HDInsig
 
 Spouts and bolts are arranged in a graph, which defines how the data flows between components. For this topology, the graph is as follows:
 
-![Diagram of how components are arranged](./media/apache-storm-develop-csharp-visual-studio-topology/wordcount-topology.png)
+![Diagram of how components are arranged](./media/apache-storm-develop-csharp-visual-studio-topology/word-count-topology1.png)
 
 Sentences are emitted from the spout, and are distributed to instances of the Splitter bolt. The Splitter bolt breaks the sentences into words, which are distributed to the Counter bolt.
 
@@ -456,7 +456,6 @@ For an example of a hybrid topology, create a project and select **Storm Hybrid
   > [!NOTE]  
   > This version also demonstrates how to use Clojure code from a text file as a Java component.
 
-
 To switch the topology that is used when the project is submitted, move the `[Active(true)]` statement to the topology you want to use, before submitting it to the cluster.
 
 > [!NOTE]  
@@ -566,15 +565,15 @@ Although it is easy to deploy a topology to a cluster, in some cases, you may ne
    > [!NOTE]
    > Remember to change the **Output type** back to **Class Library** before you deploy the topology to a cluster.
 
-2. In **Solution Explorer**, right-click the project, and then select **Add** > **New Item**. Select **Class**, and enter **LocalTest.cs** as the class name. Finally, click **Add**.
+1. In **Solution Explorer**, right-click the project, and then select **Add** > **New Item**. Select **Class**, and enter **LocalTest.cs** as the class name. Finally, click **Add**.
 
-3. Open **LocalTest.cs**, and add the following **using** statement at the top:
+1. Open **LocalTest.cs**, and add the following **using** statement at the top:
 
     ```csharp
     using Microsoft.SCP;
     ```
 
-4. Use the following code as the contents of the **LocalTest** class:
+1. Use the following code as the contents of the **LocalTest** class:
 
     ```csharp
     // Drives the topology components
@@ -676,9 +675,9 @@ Although it is easy to deploy a topology to a cluster, in some cases, you may ne
     Console.ReadKey();
     ```
 
-2. Save the changes, and then click **F5** or select **Debug** > **Start Debugging** to start the project. A console window should appear, and log status as the tests progress. When **Tests finished** appears, press any key to close the window.
+1. Save the changes, and then click **F5** or select **Debug** > **Start Debugging** to start the project. A console window should appear, and log status as the tests progress. When **Tests finished** appears, press any key to close the window.
 
-3. Use **Windows Explorer** to locate the directory that contains your project. For example: **C:\Users\<your_user_name>\Documents\Visual Studio 2013\Projects\WordCount\WordCount**. In this directory, open **Bin**, and then click **Debug**. You should see the text files that were produced when the tests ran: sentences.txt, counter.txt, and splitter.txt. Open each text file and inspect the data.
+1. Use **Windows Explorer** to locate the directory that contains your project. For example: **C:\Users\<your_user_name>\Documents\Visual Studio 2013\Projects\WordCount\WordCount**. In this directory, open **Bin**, and then click **Debug**. You should see the text files that were produced when the tests ran: sentences.txt, counter.txt, and splitter.txt. Open each text file and inspect the data.
 
    > [!NOTE]  
    > String data persists as an array of decimal values in these files. For example, \[[97,103,111]] in the **splitter.txt** file is the word *and*.