fix links

barbkess · barbkess · commit dc333956fe1c · 2017-04-11T21:09:12.000-07:00
diff --git a/docs/advanced-analytics/TOC.md b/docs/advanced-analytics/TOC.md
@@ -11,20 +11,20 @@
 # [Machine Learning Services - R](r/sql-server-r-services.md)  
 
 ## [Architecture](r/architecture-overview-sql-server-r-services.md)  
-### [New Components in SQL Server to Support Machine Learning Services](r/new-components-in-sql-server-to-support-r-services.md)  
-### [R Interoperability in SQL Server Machine Learning Services](r/r-interoperability-in-sql-server-r-services.md)  
+### [New Components in SQL Server to Support Machine Learning Services](r/new-components-in-sql-server-to-support-r.md)  
+### [R Interoperability in SQL Server Machine Learning Services](r/r-interoperability-in-sql-server.md)  
 
 ## [Setup and Configuration](r/getting-started-with-sql-server-r-services.md)  
 ### [Set up SQL Server Machine Learning Services (In-Database)](r/set-up-sql-server-r-services-in-database.md)  
-### [Unattended Installs of SQL Server Machine Learning Services](r/unattended-installs-of-sql-server-r-services.md)
-### [Configuration (SQL Server Machine Learning Services)](r/configuration-sql-server-r-services.md)  
+### [Unattended Installs of SQL Server Machine Learning Services](r/unattended-installs-of-sql-server.md)
+### [Configuration (SQL Server Machine Learning Services)](r/configuration-sql-server.md)  
 ### [Security Considerations for the R Runtime in SQL Server](r/security-considerations-for-the-r-runtime-in-sql-server.md)  
 ### [Managing and Monitoring Machine Learning Solutions](r/managing-and-monitoring-r-solutions.md)  
 
 ## [Monitoring](r/monitoring-r-services.md)  
 ### [How To: Create a Resource Pool for R](r/how-to-create-a-resource-pool-for-r.md)  
-### [Extended Events for SQL Server Machine Learning Services](r/extended-events-for-sql-server-r-services.md)  
-### [DMVs for SQL Server Machine Learning Services](r/dmvs-for-sql-server-r-services.md)  
+### [Extended Events for SQL Server Machine Learning Services](r/extended-events-for-sql-server.md)  
+### [DMVs for SQL Server Machine Learning Services](r/dmvs-for-sql-server.md)  
 ### [Using R Code Profiling Functions](r/using-r-code-profiling-functions.md)  
 ### [Monitor Machine Learning Services using Custom Reports in Management Studio](r/monitor-r-services-using-custom-reports-in-management-studio.md)  
 ### [Resource Governance for Machine Learning Services](r/resource-governance-for-r-services.md)  
@@ -65,7 +65,7 @@
 
 ## [Predictive Modeling](r/data-exploration-and-predictive-modeling-with-r.md)  
 ### [Converting R Code for Use in Machine Learning Services](r/converting-r-code-for-use-in-sql-server.md)  
-### [Creating multiple models using rxExecBy](./r/creating-multiple-models-using-rxexecby.md)  
+### [Creating multiple models using rxExecBy](r/creating-multiple-models-using-rxexecby.md)  
 <!-- ## [Native Scoring](native-scoring-in-sql-server-2017.md)-->
 
 ## [Real-time scoring](real-time-scoring.md)  
@@ -123,50 +123,50 @@
 # [SQL Server R Services Tutorials](tutorials/machine-learning-services-tutorials.md)  
 
 ## [Using R Code in Transact-SQL (Basic Tutorial)](tutorials/rtsql-using-r-code-in-transact-sql-sql-server-r-services.md)  
-### [Working with Inputs and Outputs (R in T-SQL Tutorial)](tutorials/rtsql-working-with-inputs-and-outputs-r-in-t-sql-tutorial.md)  
-### [R and SQL Data Types and Data Objects (R in T-SQL Tutorial)](tutorials/rtsql-r-and-sql-data-types-and-data-objects-r-in-t-sql-tutorial.md)  
-### [Using R Functions with SQL Server Data (R in T-SQL Tutorial)](tutorials/rtsql-using-r-functions-with-sql-server-data-r-in-t-sql-tutorial.md)  
-### [Create a Predictive Model (R in T-SQL Tutorial)](tutorials/rtsql-create-a-predictive-model-r-in-t-sql-tutorial.md)  
-### [Predict and Plot from Model (R in T-SQL Tutorial)](tutorials/rtsql-predict-and-plot-from-model-r-in-t-sql-tutorial.md)  
+### [Working with Inputs and Outputs (R in T-SQL Tutorial)](tutorials/rtsql-working-with-inputs-and-outputs.md)  
+### [R and SQL Data Types and Data Objects (R in T-SQL Tutorial)](tutorials/rtsql-r-and-sql-data-types-and-data-objects.md)  
+### [Using R Functions with SQL Server Data (R in T-SQL Tutorial)](tutorials/rtsql-using-r-functions-with-sql-server-data.md)  
+### [Create a Predictive Model (R in T-SQL Tutorial)](tutorials/rtsql-create-a-predictive-model.md)  
+### [Predict and Plot from Model (R in T-SQL Tutorial)](tutorials/rtsql-predict-and-plot-from-model.md)  
 
 ## [Data Science End-to-End Walkthrough](tutorials/walkthrough-data-science-end-to-end-walkthrough.md)
-### [Prerequisites for Data Science Walkthroughs](tutorials/walkthroughprerequisites-for-data-science-walkthroughs-sql-server-r-services.md)  
-### [Prepare the Data](tutorials/walkthrough-prepare-the-data-data-science-end-to-end-walkthrough.md)  
-### [View and Explore the Data](tutorials/walkthrough-view-and-explore-the-data-data-science-end-to-end-walkthrough.md)  
+### [Prerequisites for Data Science Walkthroughs](tutorials/walkthrough-prerequisites-for-data-science-walkthroughs.md)  
+### [Prepare the Data](tutorials/walkthrough-prepare-the-data.md)  
+### [View and Explore the Data](tutorials/walkthrough-view-and-explore-the-data.md)  
 #### [View and Summarize Data using R](tutorials/walkthrough-view-and-summarize-data-using-r.md)  
 #### [Create Graphs and Plots Using R](tutorials/walkthrough-create-graphs-and-plots-using-r.md) 
-### [Create Data Features](tutorials/walkthrough-create-data-features-data-science-end-to-end-walkthrough.md)  
-### [Build and Save the Model](tutorials/walkthrough-build-and-save-the-model-data-science-end-to-end-walkthrough.md)  
-### [Deploy and Use the Model](tutorials/walkthrough-deploy-and-use-the-model-data-science-end-to-end-walkthrough.md)    
+### [Create Data Features](tutorials/walkthrough-create-data-features.md)  
+### [Build and Save the Model](tutorials/walkthrough-build-and-save-the-model.md)  
+### [Deploy and Use the Model](tutorials/walkthrough-deploy-and-use-the-model.md)    
  
 ## [Data Science Deep Dive: Using the RevoScaleR Packages](tutorials/deepdive-data-science-deep-dive-using-the-revoscaler-packages.md)
-### [Lesson 1: Work with SQL Server Data using R](tutorials/deepdive-work-with-sql-server-data-using-r-data-science-deep-dive.md)
+### [Lesson 1: Work with SQL Server Data using R](tutorials/deepdive-work-with-sql-server-data-using-r.md)
 #### [Create SQL Server Data Objects using RxSqlServerData](tutorials/deepdive-create-sql-server-data-objects-using-rxsqlserverdata.md)  
 #### [Query and Modify the SQL Server Data](tutorials/deepdive-query-and-modify-the-sql-server-data.md)  
 #### [Define and Use Compute Contexts](tutorials/deepdive-define-and-use-compute-contexts.md)  
 
-### [Lesson 2: Create and Run R Scripts](tutorials/deepdive-create-and-run-r-scripts-data-science-deep-dive.md)
+### [Lesson 2: Create and Run R Scripts](tutorials/deepdive-create-and-run-r-scripts.md)
 #### [Visualize SQL Server Data using R](tutorials/deepdive-visualize-sql-server-data-using-r.md)  
 #### [Create Models](tutorials/deepdive-create-models.md)  
 #### [Score New Data](tutorials/deepdive-score-new-data.md)
 
-### [Lesson 3: Transform Data Using R](tutorials/deepdive-transform-data-using-r-data-science-deep-dive.md)
+### [Lesson 3: Transform Data Using R](tutorials/deepdive-transform-data-using-r.md)
 #### [Load Data into Memory using rxImport](tutorials/deepdive-load-data-into-memory-using-rximport.md)  
 #### [Create New SQL Server Table using rxDataStep](tutorials/deepdive-create-new-sql-server-table-using-rxdatastep.md)  
 #### [Perform Chunking Analysis using rxDataStep](tutorials/deepdive-perform-chunking-analysis-using-rxdatastep.md)  
 
-### [Lesson 4: Analyze Data in Local Compute Context](tutorials/deepdive-analyze-data-in-local-compute-context-data-science-deep-dive.md)  
+### [Lesson 4: Analyze Data in Local Compute Context](tutorials/deepdive-analyze-data-in-local-compute-context.md)  
 #### [Move Data between SQL Server and XDF File](tutorials/deepdive-move-data-between-sql-server-and-xdf-file.md)  
 
-### [Lesson 5: Create a Simple Simulation](tutorials/deepdive-create-a-simple-simulation-data-science-deep-dive.md)  
+### [Lesson 5: Create a Simple Simulation](tutorials/deepdive-create-a-simple-simulation.md)  
 
-## [In-Database Advanced Analytics for SQL Developers](tutorials/sqldev-in-database-advanced-analytics-for-sql-developers-tutorial.md)  
-### [Step 1: Download the Sample Data](tutorials/sqldev-step-1-download-the-sample-data-in-database-advanced-analytics-tutorial.md)  
+## [In-Database Advanced Analytics for SQL Developers](tutorials/sqldev-in-database-advanced-analytics-for-sql-developers.md)  
+### [Step 1: Download the Sample Data](tutorials/sqldev-download-the-sample-data.md)  
 ### [Step 2: Import Data to SQL Server using PowerShell](r/sqldev-import-data-to-sql-server-using-powershell.md)  
-### [Step 3: Explore and Visualize the Data](tutorials/sqldev-explore-and-visualize-the-data-in-database-advanced-analytics-tutorial.md)  
-### [Step 4: Create Data Features using T-SQL](tutorials/sqldev-create-data-features-using-t-sql-in-database-advanced-analytics-tutorial.md)  
+### [Step 3: Explore and Visualize the Data](tutorials/sqldev-explore-and-visualize-the-data.md)  
+### [Step 4: Create Data Features using T-SQL](tutorials/sqldev-create-data-features-using-t-sql.md)  
 ### [Step 5: Train and Save a Model using T-SQL](r/sqldev-train-and-save-a-model-using-t-sql.md)  
-### [Step 6: Operationalize the Model](tutorials/sqldev-operationalize-the-model-in-database-advanced-analytics-tutorial.md)
+### [Step 6: Operationalize the Model](tutorials/sqldev-operationalize-the-model.md)
 
 ## [Data Science Scenarios and Solution Templates](tutorials/data-science-scenarios-and-solution-templates.md)  
 
diff --git a/docs/advanced-analytics/r/getting-started-with-sql-server-r-services.md b/docs/advanced-analytics/r/getting-started-with-sql-server-r-services.md
@@ -42,14 +42,14 @@ The following sections provide a high level overview of some typical analytical
  
     ![rsql_keyscenario2](media/rsql-keyscenario2.png) 
  
-     For more information, see [Data Exploration and Predictive Modeling with R](r/data-exploration-and-predictive-modeling-with-r.md).  
+     For more information, see [Data Exploration and Predictive Modeling with R](data-exploration-and-predictive-modeling-with-r.md).  
 
   
 -   **Optimize**  
   
      When analyzing large datasets with R, data scientists often run into performance and scale issues, because the common runtime implementation is single-threaded and can accommodate only those data sets that fit into the available memory on the local computer. To get better performance and work with more data, the data scientist can use the **ScaleR** APIs that are provided as part of [!INCLUDE[rsql_productname](../../includes/rsql-productname-md.md)]. The **RevoScaleR** package contains implementations of some of the most popular R functions, redesigned to provide parallelism and scale. The package also includes functions that further boost  performance and scale by pushing computations to the [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)] computer, which typically has far greater memory and computational power.  
   
-     For more information, see [Data Exploration and Predictive Modeling with R](r/data-exploration-and-predictive-modeling-with-r.md).  
+     For more information, see [Data Exploration and Predictive Modeling with R](data-exploration-and-predictive-modeling-with-r.md).  
   
 -   **Deploy**  
   
@@ -61,7 +61,7 @@ The following sections provide a high level overview of some typical analytical
   
     ![rsql_keyscenario1](rsql-keyscenario1.png)  
   
-     For more information, see [Operationalizing Your R Code](r/operationalizing-your-r-code.md).  
+     For more information, see [Operationalizing Your R Code](operationalizing-your-r-code.md).  
  
  > [!TIP]
  > Learn more about how you can integrate SQL Server with data science in this book, available as a free download from Microsoft Virtual Academy:
@@ -73,27 +73,27 @@ The following sections provide a high level overview of some typical analytical
   
      When R jobs are run in [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)], you can also control and audit the data used by analysts, or schedule jobs and author workflows containing R scripts, just like you would with other stored procedures.  
   
-     For more information, see [Managing and Monitoring R Solutions](r/managing-and-monitoring-r-solutions.md)  
+     For more information, see [Managing and Monitoring R Solutions](managing-and-monitoring-r-solutions.md)  
   
   
 -   **Integrate**  
   
      No longer do you have to spend your IT budget getting your enterprise tools to work with some external R runtime environment. You can work in the familiar environment of [!INCLUDE[ssManStudioFull](../../includes/ssmanstudiofull-md.md)], and develop integrated workflows and reporting solutions using [!INCLUDE[ssISnoversion](../../includes/ssisnoversion-md.md)] and [!INCLUDE[ssRSnoversion](../../includes/ssrsnoversion-md.md)].  
   
-     For more information, see [Creating Workflows that Use R in SQL Server](r/creating-workflows-that-use-r-in-sql-server.md).  
+     For more information, see [Creating Workflows that Use R in SQL Server](creating-workflows-that-use-r-in-sql-server.md).  
   
   
 ## How Do I Get It?  
    
   
 +   **Install [!INCLUDE[ssCurrent](../../includes/sscurrent-md.md)] or later and enable R Services (In-Database)** )  
   
-    [Set up SQL Server R Services &#40;In-Database&#41;](r/set-up-sql-server-r-services-in-database.md).  
+    [Set up SQL Server R Services &#40;In-Database&#41;](set-up-sql-server-r-services-in-database.md).  
   
   
 -   **Set up a client workstation**  
   
-     [Set Up  a Data Science Client](r/set-up-a-data-science-client.md)  
+     [Set Up  a Data Science Client](set-up-a-data-science-client.md)  
    
 > [!TIP]  
 > Need to create a server for R jobs but don't need SQL Server? Try [Microsoft R Server](https://msdn.microsoft.com/library/mt674874.aspx).  
@@ -103,27 +103,27 @@ The following sections provide a high level overview of some typical analytical
   
 -   Learn how to call R from a [!INCLUDE[tsql](../../includes/tsql-md.md)] statement and returns results in [!INCLUDE[ssManStudioFull](../../includes/ssmanstudiofull-md.md)]  
   
-     [Using R Code in Transact-SQL](r/using-r-code-in-transact-sql-sql-server-r-services.md)  
+     [Using R Code in Transact-SQL](using-r-code-in-transact-sql-sql-server-r-services.md)  
   
 -   Understand the full flow for creating an advanced analytics solution and deploying it using SQL Server R Services  
   
-     [Data Science End-to-End Walkthrough](r/data-science-end-to-end-walkthrough.md)  
+     [Data Science End-to-End Walkthrough](data-science-end-to-end-walkthrough.md)  
   
 -   Learn how to use the RevoScaleR package for scalable and high performance analysis, and how to push R computations to the SQL Server computer  
   
-     [Data Science Deep Dive: Using the RevoScaleR Packages](r/data-science-deep-dive-using-the-revoscaler-packages.md)  
+     [Data Science Deep Dive: Using the RevoScaleR Packages](data-science-deep-dive-using-the-revoscaler-packages.md)  
   
 -   Embed working R script in [!INCLUDE[tsql](../../includes/tsql-md.md)] stored procedures so that you can call models for prediction, retrain models, or get predictions from applications  
   
-     [In-Database Advanced Analytics for SQL Developers](r/in-database-advanced-analytics-for-sql-developers-tutorial.md)  
+     [In-Database Advanced Analytics for SQL Developers](in-database-advanced-analytics-for-sql-developers-tutorial.md)  
   
 -   Use [!INCLUDE[ssCurrent](../../includes/sscurrent-md.md)] and related business intelligence tools in the [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)] stack to automate machine learning processes. Data preparation and reporting can be automated using [!INCLUDE[ssISnoversion](../../includes/ssisnoversion-md.md)]; display R plots along with other reports using [!INCLUDE[ssRSnoversion](../../includes/ssrsnoversion-md.md)] or Power View.  
   
 + More samples, including solution templates and sample R code  
-   [SQL Server R Services Tutorials](r/sql-server-r-services-tutorials.md).  
+   [SQL Server R Services Tutorials](sql-server-r-services-tutorials.md).  
   
 ## See Also  
- [SQL Server R Services](r/sql-server-r-services.md)   
- [Getting Started with Microsoft R Server &#40;Standalone&#41;](r/getting-started-with-microsoft-r-server-standalone.md)  
+ [SQL Server R Services](sql-server-r-services.md)   
+ [Getting Started with Microsoft R Server &#40;Standalone&#41;](getting-started-with-microsoft-r-server-standalone.md)  
   
   
diff --git a/docs/advanced-analytics/r/new-components-in-sql-server-to-support-r.md b/docs/advanced-analytics/r/new-components-in-sql-server-to-support-r.md
@@ -20,7 +20,7 @@ manager: "jhubbard"
  In SQL Server 2016 and vNext, the database engine includes optional components that support extensibility for external script languages, including R and Python. Support for the R language was added in SQL Server 2016; support for Python was added in SQL Server vNext Machine Learning Services
 
 This topic describes the new components that work specifically with the R language. 
-For a discussion of how these components work with open source R, see [R Interoperability](../../advanced-analytics/r-services/r-interoperability-in-sql-server.md)
+For a discussion of how these components work with open source R, see [R Interoperability](r-interoperability-in-sql-server.md)
 
 ## New Components and Providers
 
@@ -53,7 +53,7 @@ In addition to the shell that loads R and executes R code as described in the ar
   - Error handling
   - Writing standard output and errors back to the client
 
-  The SQL Satellite can be monitored by using Extended Events. For more information, see [Extended Events for SQL Server R Services](../../advanced-analytics/r-services/extended-events-for-sql-server-r-services.md).
+  The SQL Satellite can be monitored by using Extended Events. For more information, see [Extended Events for SQL Server R Services](extended-events-for-sql-server-r-services.md).
 
 
 ## Communication Channels Between Components
@@ -120,5 +120,5 @@ When connecting from a remote data science client that supports Microsoft R, you
 9. [!INCLUDE[ssNoVersion_md](../../includes/ssnoversion-md.md)] passes results back to the client.
 
 ## See Also
-[Architecture Overview](r/architecture-overview-sql-server-r.md)
+[Architecture Overview](architecture-overview-sql-server-r.md)
 
diff --git a/docs/advanced-analytics/r/sqldev-import-data-to-sql-server-using-powershell.md b/docs/advanced-analytics/r/sqldev-import-data-to-sql-server-using-powershell.md
@@ -76,22 +76,22 @@ Actions performed by the script include:
   
 3.  Log in to the [!INCLUDE[ssNoVersion](../../includes/ssnoversion-md.md)] instance using [!INCLUDE[ssManStudioFull](../../includes/ssmanstudiofull-md.md)] and the login you specified, to verify that you can see the database, tables, functions, and stored procedures that were created.  
   
-    ![rsql_devtut_BrowseTables](../../advanced-analytics/r-services/media/rsql-devtut-browsetables.PNG "rsql_devtut_BrowseTables")  
+    ![rsql_devtut_BrowseTables](media/rsql-devtut-browsetables.PNG "rsql_devtut_BrowseTables")  
   
     > [!NOTE]  
     > If the database objects already exist, they cannot be created again.  
     >   
     > If the table already exists, the data will be appended, not overwritten. Therefore, be sure to drop any existing objects before running the script.  
   
 ## Next Step  
-[Step 3: Explore and Visualize the Data](../../advanced-analytics/r-services/step-3-explore-and-visualize-the-data-in-database-advanced-analytics-tutorial.md)  
+[Step 3: Explore and Visualize the Data](../tutorials/sqldev-explore-and-visualize-the-data.md)  
   
 ## Previous Step  
-[Step 1: Download the Sample Data](../../advanced-analytics/r-services/step-1-download-the-sample-data-in-database-advanced-analytics-tutorial.md)  
+[Step 1: Download the Sample Data](../tutorials/sqldev-download-the-sample-data.md)  
   
 ## See Also  
-[In-Database Advanced Analytics for SQL Developers &#40;Tutorial&#41;](../../advanced-analytics/r-services/in-database-advanced-analytics-for-sql-developers-tutorial.md)  
-[SQL Server R Services Tutorials](../../advanced-analytics/r-services/sql-server-r-services-tutorials.md)  
+[In-Database Advanced Analytics for SQL Developers &#40;Tutorial&#41;](../tutorials/sqldev-in-database-advanced-analytics-for-sql-developers.md)  
+[SQL Server R Services Tutorials](../tutorials/machine-learning-services-tutorials.md)  
   
   
   
diff --git a/docs/advanced-analytics/what-s-new-in-sql-server-machine-learning-services.md b/docs/advanced-analytics/what-s-new-in-sql-server-machine-learning-services.md
