Merge pull request #5594 from MightyPen/ver-dqsmds-PR5589-opp

DQSMDS

Author: MightyPen

docs/data-quality-services/data-quality-services.md

@@ -23,7 +23,7 @@ ms.workload: "On Demand"
 
 [!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]
 
-[!INCLUDE[ssDQSnoversionLong](../includes/ssdqsnoversionlong-md.md)] (DQS) is a knowledge-driven data quality product. DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data. DQS enables you to perform data cleansing by using cloud-based reference data services provided by reference data providers. DQS also provides you with profiling that is integrated into its data-quality tasks, enabling you to analyze the integrity of your data.  
+ [!INCLUDE[ssDQSnoversionLong](../includes/ssdqsnoversionlong-md.md)] (DQS) is a knowledge-driven data quality product. DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data. DQS enables you to perform data cleansing by using cloud-based reference data services provided by reference data providers. DQS also provides you with profiling that is integrated into its data-quality tasks, enabling you to analyze the integrity of your data.  
 
  DQS consists of [!INCLUDE[ssDQSServer](../includes/ssdqsserver-md.md)] and [!INCLUDE[ssDQSClient](../includes/ssdqsclient-md.md)], both of which are installed as part of [!INCLUDE[ssCurrent](../includes/sscurrent-md.md)]. [!INCLUDE[ssDQSServer](../includes/ssdqsserver-md.md)] is a SQL Server instance feature that consists of three SQL Server catalogs with data-quality functionality and storage. [!INCLUDE[ssDQSClient](../includes/ssdqsclient-md.md)] is a SQL Server shared feature that business users, information workers, and IT professionals can use to perform computer-assisted data quality analyses and manage their data quality interactively. You can also perform data quality processes by using the [!INCLUDE[ssDQSCleansingLong](../includes/ssdqscleansinglong-md.md)] and Master Data Services (MDS) data quality functionality, both of which are based on DQS.  
 

docs/docfx.json

@@ -58,7 +58,9 @@
 
         "ado/**/*.md": ">= sql-server-2016 || >= sql-server-linux-2017 || = azuresqldb-current || = azuresqldb-mi-current || = azure-sqldw-latest || >= aps-pdw-2016 || = sqlallproducts-allversions",
         "connect/**/*.md": ">= sql-server-2016 || >= sql-server-linux-2017 || = azuresqldb-current || = azuresqldb-mi-current || = azure-sqldw-latest || >= aps-pdw-2016 || = sqlallproducts-allversions",
+        "data-quality-services/**/*.md": ">= sql-server-2016 || >= sql-server-linux-2017 || = azuresqldb-current || = azuresqldb-mi-current || = azure-sqldw-latest || >= aps-pdw-2016 || = sqlallproducts-allversions",
         "dma/**/*.md": ">= sql-server-2016 || >= sql-server-linux-2017 || = azuresqldb-current || = azuresqldb-mi-current || = azure-sqldw-latest || >= aps-pdw-2016 || = sqlallproducts-allversions",
+        "master-data-services/**/*.md": ">= sql-server-2016 || >= sql-server-linux-2017 || = azuresqldb-current || = azuresqldb-mi-current || = azure-sqldw-latest || >= aps-pdw-2016 || = sqlallproducts-allversions",
         "odbc/**/*.md": ">= sql-server-2016 || >= sql-server-linux-2017 || = azuresqldb-current || = azuresqldb-mi-current || = azure-sqldw-latest || >= aps-pdw-2016 || = sqlallproducts-allversions",
         "reporting-services/**/*.md": ">= sql-server-2016 || >= sql-server-linux-2017 || = azuresqldb-current || = azuresqldb-mi-current || = azure-sqldw-latest || >= aps-pdw-2016 || = sqlallproducts-allversions",
         "sql-operations-studio/**/*.md": ">= sql-server-2016 || >= sql-server-linux-2017 || = azuresqldb-current || = azuresqldb-mi-current || = azure-sqldw-latest || >= aps-pdw-2016 || = sqlallproducts-allversions",
@@ -67,12 +69,10 @@
         "advanced-analytics/**/*.md": ">= sql-server-2016 || = sqlallproducts-allversions",
         "analysis-services/**/*.md": ">= sql-analysis-services-2016 || = sqlallproducts-allversions",
         "analytics-platform-system/**/*.md": ">= aps-pdw-2016 || = sqlallproducts-allversions",
-        "data-quality-services/**/*.md": ">= sql-server-2016 || = sqlallproducts-allversions",
         "database-engine/**/*.md": ">= sql-server-2016 || = sqlallproducts-allversions",
         "dmx/**/*.md": ">= sql-analysis-services-2016 || = sqlallproducts-allversions",
         "integration-services/**/*.md": ">= sql-server-2016 || = sqlallproducts-allversions",
         "linux/**/*.md": ">= sql-server-linux-2017 || = sqlallproducts-allversions",
-        "master-data-services/**/*.md": ">= sql-server-2016 || = sqlallproducts-allversions",
         "mdx/**/*.md": ">= sql-analysis-services-2016 || = sqlallproducts-allversions",
         "powershell/**/*.md": ">= aps-pdw-2016 || = azure-sqldw-latest || = azuresqldb-current || >= sql-server-2016 || = sqlallproducts-allversions",
         "relational-databases/**/*.md": ">= sql-server-2016 || = sqlallproducts-allversions",

docs/master-data-services/master-data-services-overview-mds.md

@@ -28,7 +28,7 @@ ms.workload: "Active"
 
 [!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]
 
-This topic describes the key data organization and management features of [!INCLUDE[ssMDSshort](../includes/ssmdsshort-md.md)]. 
+ This topic describes the key data organization and management features of [!INCLUDE[ssMDSshort](../includes/ssmdsshort-md.md)]. 
 
  [!INCLUDE[ssMDSshort_md](../includes/ssmdsshort-md.md)] enables you to manage a master set of your organization's data. You can organize the data into models, create rules for updating the data, and control who updates the data. With Excel, you can share the master data set with other people in your organization.