1783001, fixed typos.

john-par · john-par · commit fae67e85c64a · 2020-10-30T13:00:02.000-07:00
diff --git a/docs/analytics-platform-system/configure-scom-to-monitor-analytics-platform-system.md b/docs/analytics-platform-system/configure-scom-to-monitor-analytics-platform-system.md
@@ -96,7 +96,7 @@ Here are detailed instructions on how to do the tasks:
   
     3.  On the **Credentials** page, supply valid credentials to access APS health state DMVs.  
   
-        ![Screenshot showing the Credentials page of the Create Run As Account Wizard with valid credentials wo access APS health state DMVs..](./media/configure-scom-to-monitor-analytics-platform-system/CreateRunAsAccountWizardCredentials2.png "CreateRunAsAccountWizardCredentials2")  
+        ![Screenshot showing the Credentials page of the Create Run As Account Wizard with valid credentials wo access APS health state DMVs.](./media/configure-scom-to-monitor-analytics-platform-system/CreateRunAsAccountWizardCredentials2.png "CreateRunAsAccountWizardCredentials2")  
   
 5.  Configure the **Microsoft APS Action Account** profile to use the newly created Run As account for the APS instance.  
   
diff --git a/docs/analytics-platform-system/launch-the-configuration-manager.md b/docs/analytics-platform-system/launch-the-configuration-manager.md
@@ -40,7 +40,7 @@ After the **Configuration Manager** is started, you will see all available funct
   
 To close and exit **Configuration Manager**, click **Exit** in the lower-right corner of any screen.  
   
-![Screenshot of teh Microsoft Analytics Platform System Configuration Manager dialog box showing the Appliance Topology.](./media/launch-the-configuration-manager/SQL_Server_PDW_DWConfig_ApplTop.png "SQL_Server_PDW_DWConfig_ApplTop")  
+![Screenshot of the Microsoft Analytics Platform System Configuration Manager dialog box showing the Appliance Topology.](./media/launch-the-configuration-manager/SQL_Server_PDW_DWConfig_ApplTop.png "SQL_Server_PDW_DWConfig_ApplTop")  
   
 ## See Also  
 [Monitor the Appliance by Using the Admin Console &#40;Analytics Platform System&#41;](monitor-the-appliance-by-using-the-admin-console.md)  
diff --git a/docs/linux/sql-server-linux-shared-disk-cluster-configure-nfs.md b/docs/linux/sql-server-linux-shared-disk-cluster-configure-nfs.md
@@ -222,7 +222,7 @@ Ensure that your security standards are enforced for accessing. When configuring
 
    * To test, create a database in that folder. The following example uses sqlcmd to create a database, switch context to it, verify the files exist at the OS level, and then deletes the temporary location. You can use SSMS.
 
-    ![Screenshot of the sqlcmd command and the response to the command showing no switches.][4]
+    ![Screenshot of the sqlcmd command and the response to the command.][4]
  
    * Unmount the share 
 
diff --git a/docs/relational-databases/graphs/sql-graph-sample.md b/docs/relational-databases/graphs/sql-graph-sample.md
@@ -27,7 +27,7 @@ This sample provides a [!INCLUDE[tsql-md](../../includes/tsql-md.md)] script to
 
 This sample creates a graph schema, as showed in Figure 1, for a hypothetical social network that has People, Restaurant and City nodes. These nodes are connected to each other using Friends, Likes, LivesIn and LocatedIn edges.
 
-![diagram showing a sample schema with restaurant, city, person nodes and LivesIn, LocatedIn, Likes edges.](../../relational-databases/graphs/media/person-cities-restaurants-tables.png "Sql graph database sample")  
+![Diagram showing a sample schema with restaurant, city, person nodes and LivesIn, LocatedIn, Likes edges.](../../relational-databases/graphs/media/person-cities-restaurants-tables.png "Sql graph database sample")  
 Figure 1: Sample schema with restaurant, city, person nodes and LivesIn, LocatedIn, Likes edges.
 
 ## Sample Script
diff --git a/docs/sql-server/partner-big-data-cluster.md b/docs/sql-server/partner-big-data-cluster.md
@@ -19,7 +19,7 @@ For support implementing solutions with SQL Server Big Data Clusters, you can wo
 | Partner | Description | Links |
 | --- | --- | --- |
 |![dellemc logo][1] |Dell EMC sells data storage, information security, virtualization, analytics, cloud computing, and other products and services that enable organizations to store, manage, protect, and analyze data.|[Marketplace][dellemc_marketplace]<br>[Website logo][dellemc_website]<br>[Datasheet][dellemc_datasheet]<br>[Twitter][dellemc_twitter]<br>[Video][dellemc_youtube]<br>[Blog][dellemc_blog] |
-|![HPE][2] |Enterprise performance for Microsoft SQL Server<br>Our storage solutions deliver worry-free Microsoft SQL Server. Integration enhances copy data management, improves data protection, speeds DevOps, and provides an on-ramp to the cloud.|[Website][hpe_website]<br>[Datasheet][hpe_datasheet]<br>[Download Evaluation][hpe_download]<br>[Twitter][hpe_twitter]<br>[Video][hpe_youtube]<br>[Blog][hpe_download]|
+|![HPE logo][2] |Enterprise performance for Microsoft SQL Server<br>Our storage solutions deliver worry-free Microsoft SQL Server. Integration enhances copy data management, improves data protection, speeds DevOps, and provides an on-ramp to the cloud.|[Website][hpe_website]<br>[Datasheet][hpe_datasheet]<br>[Download Evaluation][hpe_download]<br>[Twitter][hpe_twitter]<br>[Video][hpe_youtube]<br>[Blog][hpe_download]|
 |![NetApp][3] |NetApp StorageGRID is software-defined object storage. It can be deployed as combinations of software-only, purpose-built appliances, and in virtualized environments.<br/><br/>In a single namespace, StorageGRID can scale across multiple data centers located around the world. StorageGRID offers massive S3 object storage with dynamic data management, enabling customers to run next-generation workflows on premises while taking advantage of public cloud resources. The StorageGRID unique data management policy engine ensures optimized levels of performance and durability, as well as adherence to data locality requirements. |[Website][netapp_website]<br>[Datasheet][netapp_datasheet]<br>[Twitter][netapp_twitter]<br>[Video][netapp_youtube]<br>[Docs][netapp_docs]|
 |![PureStorage][5] |Pure Storage empowers innovation to build a better world with data by delivering a simple, Evergreen&trade; platform that enables organizations to turn data into intelligence and advantage.  Big Data Cluster (BDC) ready, Pure Storage has a highly scalable storage fabric for any Kubernetes compatible container orchestration platform. FlashBlade by Pure is a simple to manage, high performance, storage platform that can be leveraged by SQL Server 2019 Big Data Cluster HDFS tiering, allowing, scaling to petabytes of usable storage and IO bandwidth of the order of tens of gigabytes. The FlashArray as well as  FlashBlade is a match made for Big Data Cluster success. |[Website][purestorage_website]<br>[Datasheet][purestorage_datasheet]<br>[Twitter][purestorage_twitter]<br>[Docs][purestorage_docs]|
 |![StreamSets][4] |StreamSets provides a no-code solution for operating data pipelines for Big Data Clusters: <br/><ul><li> Design and operate continuous data flows with intuitive, visual tools, eliminating the need to know how to code for big data systems</li><li>Develop complex analytics applications on Apache Spark using an intuitive drag-and-drop user interface </li><li>Ingest and process data at scale from a wide variety of data sources with native integration into SQL Server and HDFS</li><li>Accelerate the migration from relational databases, Hadoop clusters and NoSQL stores into Big Data Clusters</li></ul>   | [Website][streamsets_website]<br>[Blog][streamsets_blog]<br>[Video][streamsets_youtube]<br>[Documentation][streamsets_docs]|
