Update apache-hive-warehouse-connector.md

Author: JillGrant615

articles/hdinsight/interactive-query/apache-hive-warehouse-connector.md

@@ -20,8 +20,8 @@ Apache Hive offers support for database transactions that are Atomic, Consistent
 Apache Spark has a Structured Streaming API that gives streaming capabilities not available in Apache Hive. Beginning with HDInsight 4.0, Apache Spark 2.3.1 & above, and Apache Hive 3.1.0 have separate metastore catalogs, which make interoperability difficult. 
 
 The Hive Warehouse Connector (HWC) makes it easier to use Spark and Hive together. The HWC library loads data from LLAP daemons to Spark executors in parallel. This process makes it more efficient and adaptable than a standard JDBC connection from Spark to Hive. This brings out two different execution modes for HWC: 
-> - Hive JDBC mode via HiveServer2
-> - Hive LLAP mode using LLAP daemons **[Recommended]**
+ - Hive JDBC mode via HiveServer2
+ - Hive LLAP mode using LLAP daemons **[Recommended]**
 
 By default, HWC is configured to use Hive LLAP daemons. 
 For executing Hive queries (both read and write) using the above modes with their respective APIs, see [HWC APIs](./hive-warehouse-connector-apis.md).
@@ -99,7 +99,7 @@ value. The value may be similar to: `thrift://iqgiro.rekufuk2y2cezcbowjkbwfnyvd.
 
 1. Save changes and restart all affected components.
 
-#### Additonal configurations for Spark and Hive
+#### Additional configurations for Spark and Hive
 
 The following configuration needs to be done for **all** head and worker nodes of your Spark and Hive clusters.
 
@@ -129,7 +129,7 @@ Apart from the configurations mentioned in the previous section, add the followi
     
     * From a web browser, navigate to `https://CLUSTERNAME.azurehdinsight.net/#/main/services/HIVE/summary` where CLUSTERNAME is the name of your Interactive Query cluster. Click on **HiveServer2 Interactive**. You'll see the Fully Qualified Domain Name (FQDN) of the head node on which LLAP is running as shown in the screenshot. Replace `<llap-headnode>` with this value.
 
-        :::image type="content" source="./media/apache-hive-warehouse-connector/head-node-hive-server-interactive.png" alt-text="hive warehouse connector Head Node." border="true":::
+        :::image type="content" source="./media/apache-hive-warehouse-connector/head-node-hive-server-interactive.png" alt-text="Screenshot of hive warehouse connector Head Node." border="true":::
 
     * Use [ssh command](../hdinsight-hadoop-linux-use-ssh-unix.md) to connect to your Interactive Query cluster. Look for `default_realm` parameter in the `/etc/krb5.conf` file. Replace `<AAD-DOMAIN>` with this value as an uppercase string, otherwise the credential won't be found.
 
@@ -256,21 +256,21 @@ kinit USERNAME
     hive.executeQuery("SELECT * FROM demo").show()
     ```
 
-    :::image type="content" source="./media/apache-hive-warehouse-connector/hive-warehouse-connector-table-before-ranger-policy.png" alt-text="demo table before applying ranger policy." border="true":::
+    :::image type="content" source="./media/apache-hive-warehouse-connector/hive-warehouse-connector-table-before-ranger-policy.png" alt-text="Screenshot of demo table before applying ranger policy." border="true":::
 
 1. Apply a column masking policy that only shows the last four characters of the column.  
     1. Go to the Ranger Admin UI at `https://LLAPCLUSTERNAME.azurehdinsight.net/ranger/`.
     1. Click on the Hive service for your cluster under **Hive**.
-        :::image type="content" source="./media/apache-hive-warehouse-connector/hive-warehouse-connector-ranger-service-manager.png" alt-text="ranger service manager." border="true":::
+        :::image type="content" source="./media/apache-hive-warehouse-connector/hive-warehouse-connector-ranger-service-manager.png" alt-text="Screenshot of ranger service manager." border="true":::
     1. Click on the **Masking** tab and then **Add New Policy**
 
-        :::image type="content" source="./media/apache-hive-warehouse-connector/hive-warehouse-connector-ranger-hive-policy-list.png" alt-text="hive warehouse connector ranger hive policy list." border="true":::
+        :::image type="content" source="./media/apache-hive-warehouse-connector/hive-warehouse-connector-ranger-hive-policy-list.png" alt-text="Screenshot of hive warehouse connector ranger hive policy list." border="true":::
 
     1. Provide a desired policy name. Select database: **Default**, Hive table: **demo**, Hive column: **name**, User: **rsadmin2**, Access Types: **select**, and **Partial mask: show last 4** from the **Select Masking Option** menu. Click **Add**.
-                :::image type="content" source="./media/apache-hive-warehouse-connector/hive-warehouse-connector-ranger-create-policy.png" alt-text="create policy." border="true":::
+                :::image type="content" source="./media/apache-hive-warehouse-connector/hive-warehouse-connector-ranger-create-policy.png" alt-text="Screenshot of create policy." border="true":::
 1. View the table's contents again. After applying the ranger policy, we can see only the last four characters of the column.
 
-    :::image type="content" source="./media/apache-hive-warehouse-connector/hive-warehouse-connector-table-after-ranger-policy.png" alt-text="demo table after applying ranger policy." border="true":::
+    :::image type="content" source="./media/apache-hive-warehouse-connector/hive-warehouse-connector-table-after-ranger-policy.png" alt-text="Screenshot of demo table after applying ranger policy." border="true":::
 
 ## Next steps