Merge pull request #89125 from dagiro/cats156

cats156

Author: PRMerger10

articles/hdinsight/spark/apache-spark-connect-to-sql-database.md

@@ -33,7 +33,7 @@ Start by creating a [Jupyter Notebook](https://jupyter.org/) associated with the
 1. From the [Azure portal](https://portal.azure.com/), open your cluster.
 1. Select **Jupyter notebook** underneath **Cluster dashboards** on the right side.  If you don't see **Cluster dashboards**, select **Overview** from the left menu. If prompted, enter the admin credentials for the cluster.
 
-    ![Jupyter notebook on Spark](./media/apache-spark-connect-to-sql-database/hdinsight-spark-cluster-dashboard-jupyter-notebook.png "Jupyter notebook on Spark")
+    ![Jupyter notebook on Apache Spark](./media/apache-spark-connect-to-sql-database/hdinsight-spark-cluster-dashboard-jupyter-notebook.png "Jupyter notebook on Spark")
 
    > [!NOTE]  
    > You can also access the Jupyter notebook on Spark cluster by opening the following URL in your browser. Replace **CLUSTERNAME** with the name of your cluster:
@@ -177,7 +177,7 @@ In this section, we stream data into the **hvactable** that you already created
 
 1. The output shows the schema of **HVAC.csv**. The **hvactable** has the same schema as well. The output lists the columns in the table.
 
-    ![Schema of table](./media/apache-spark-connect-to-sql-database/hdinsight-schema-table.png "Schema of table")
+    ![hdinsight Apache Spark schema table](./media/apache-spark-connect-to-sql-database/hdinsight-schema-table.png "Schema of table")
 
 1. Finally, use the following snippet to read data from the HVAC.csv and stream it into the **hvactable** in Azure SQL database. Paste the snippet in a code cell, replace the placeholder values with the values for your Azure SQL database, and then press **SHIFT + ENTER** to run.