Merge pull request #7161 from HeidiSteen/heidist-master

SEO

Author: PRMerger12

docs/advanced-analytics/r/sql-server-r-services.md

@@ -1,10 +1,10 @@
 ---
 title: R Services in SQL Server 2016 | Microsoft Docs
-description: Overview introduction to SQL Server Services, R support for in-database analytics
+description: R in SQL Server for integrated R tasks on relational data, including data science and statistical modeling, predictive analytics, data visualization and more.
 ms.prod: sql
 ms.technology: machine-learning
 
-ms.date: 08/27/2018  
+ms.date: 09/10/2018  
 ms.topic: overview
 author: HeidiSteen
 ms.author: heidist
@@ -13,12 +13,15 @@ manager: cgronlun
 # R Services in SQL Server 2016
 [!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]
 
-SQL Server 2016 R Services is an add-on to a database engine instance, used for executing R code and functions on SQL Server. Code runs in an extensibility framework, isolated from core engine processes, but fully available to relational data as stored procedures, as T-SQL script containing R statements, or as R code containing T-SQL. 
+R Services is an add-on to a SQL Server 2016 database engine instance, used for executing R code and functions on SQL Server. Code runs in an extensibility framework, isolated from core engine processes, but fully available to relational data as stored procedures, as T-SQL script containing R statements, or as R code containing T-SQL. 
 
 R Services includes a base distribution of R, overlaid with enterprise R packages from Microsoft so that you can load and process large amounts of data on multiple cores and aggregate the results into a single consolidated output. Microsoft's R functions and algorithms are engineered for both scale and utility: delivering predictive analytics, statistical modeling, data visualizations, and leading-edge machine learning algorithms in a commercial server product engineered and supported by Microsoft. 
 
 R libraries include RevoScaleR, MicrosoftML, and others. Because R Services is integrated with the database engine, you can keep analytics close to the data and eliminate the costs and security risks associated with data movement.
 
+> [!Note]
+> R Services was renamed in SQL Server 2017 to [SQL Server Machine Learning Services](../what-is-sql-server-machine-learning.md), reflecting the addition of Python.
+
 ## Components
 
 SQL Server 2016 is R only. The following table describes the features in SQL Server 2016.
@@ -36,7 +39,7 @@ SQL Server 2016 is R only. The following table describes the features in SQL Ser
 
 Developers and analysts often have code running on top of a local SQL Server instance. By adding Machine Learning Services and enabling external script execution, you gain the ability to run R code in SQL Server modalities: wrapping script in stored procedures, storing models in a SQL Server table, or combining T-SQL and R functions in queries.
 
-The most common approach for in-database analytics is to use [sp_execute_external_script](../../relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql.md), passing Rscript as an input parameter.
+The most common approach for in-database analytics is to use [sp_execute_external_script](../../relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql.md), passing R script as an input parameter.
 
 Classic client-server interactions are another approach. From any client workstation that has an IDE, you can install [Microsoft R Client](https://docs.microsoft.com/machine-learning-server/r-client/what-is-microsoft-r-client), and then write code that pushes execution (referred to as a *remote compute context*) to data and operations to a remote SQL Server. 
 

docs/advanced-analytics/what-is-sql-server-machine-learning.md

@@ -1,21 +1,21 @@
 ---
-title: Machine Learning Services in SQL Server | Microsoft Docs
-description: Overview introduction to SQL Server 2017 Machine Learning Services, R and Python support for in-database analytics
+title: R and Python Machine Learning Services in SQL Server | Microsoft Docs
+description: R in SQL Server and Python in SQL Server, integrating with relational data for data science and statistical modeling, machine learning models, predictive analytics, data visualization and more.
 ms.prod: sql
 ms.technology: machine-learning
 
-ms.date: 08/27/2018  
+ms.date: 09/10/2018  
 ms.topic: overview
 author: HeidiSteen
 ms.author: heidist
 manager: cgronlun
 ---
-# Machine Learning Services in SQL Server 2017
+# Machine Learning Services (R, Python) in SQL Server 2017
 [!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]
 
 SQL Server 2017 Machine Learning Services is an add-on to a database engine instance, used for executing R and Python code on SQL Server. Code runs in an extensibility framework, isolated from core engine processes, but fully available to relational data as stored procedures, as T-SQL script containing R or Python statements, or as R or Python code containing T-SQL. 
 
-If you previously used SQL Server 2016 R Services, Machine Learning Services in SQL Server 2017 is the next generation of R support, with updated versions of base R, RevoScaleR, MicrosoftML, and other libraries introduced in 2016.
+If you previously used [SQL Server 2016 R Services](r/sql-server-r-services.md), Machine Learning Services in SQL Server 2017 is the next generation of R support, with updated versions of base R, RevoScaleR, MicrosoftML, and other libraries introduced in 2016.
 
 The key value proposition of Machine Learning Services is the power of its enterprise R and Python packages to deliver advanced analytics at scale, and the ability to bring calculations and processing to where the data resides, eliminating the need to pull data across the network.