20230731 mran.microsoft.com broken link fix

WilliamDAssafMSFT · WilliamDAssafMSFT · commit 3fefcffebb0b · 2023-07-31T14:05:49.000-07:00
diff --git a/docs/big-data-cluster/concept-application-deployment.md b/docs/big-data-cluster/concept-application-deployment.md
@@ -186,7 +186,7 @@ For next steps, see [How to deploy an app on SQL Server Big Data Clusters](app-c
 
 #### Limitations of R runtime
 
-These limitations align with the [Microsoft R Application Network](https://mran.microsoft.com/open).
+These limitations align with the [Microsoft R Application Network](https://mran.microsoft.com/open), which was retired on July 1, 2023. For more information and workarounds, see [Microsoft R Application Network retirement](https://techcommunity.microsoft.com/t5/azure-sql-blog/microsoft-r-application-network-retirement/ba-p/3707161).
 
 ### Using app deploy dtexec runtime
 
diff --git a/docs/linux/sql-server-linux-setup-machine-learning.md b/docs/linux/sql-server-linux-setup-machine-learning.md
@@ -34,9 +34,7 @@ You can install Machine Learning Services on Red Hat Enterprise Linux (RHEL), SU
 
 * (R only) Microsoft R Open (MRO) provides the base R distribution for the R feature in SQL Server and is a prerequisite for using RevoScaleR, MicrosoftML, and other R packages installed with Machine Learning Services.
     * The required version is MRO 3.5.2.
-    * Choose from the following two approaches to install MRO:
-        * Download the MRO tarball from MRAN, unpack it, and run its install.sh script. You can follow the [installation instructions on MRAN](https://mran.microsoft.com/releases/3.5.2) if you want this approach.
-        * Register the **packages.microsoft.com** repo as described below to install the MRO distribution: microsoft-r-open-mro and microsoft-r-open-mkl. 
+    * Register the `packages.microsoft.com` repo as described below to install the MRO distribution: `microsoft-r-open-mro` and `microsoft-r-open-mkl`. 
     * See the installation sections below for how to install MRO.
 
 * You should have a tool for running T-SQL commands. 
diff --git a/docs/machine-learning/package-management/r-package-information.md b/docs/machine-learning/package-management/r-package-information.md
@@ -124,8 +124,6 @@ In addition, you can add MicrosoftML and olapR packages to a SQL Server instance
 
 R support includes open-source R so that you can call base R functions and install additional open-source and third-party packages. R language support includes core functionality such as **base**, **stats**, **utils**, and others. A base installation of R also includes numerous sample datasets and standard R tools such as **RGui** (a lightweight interactive editor) and **RTerm** (an R command prompt).
 
-The distribution of open-source R included in your installation is [Microsoft R Open (MRO)](https://mran.microsoft.com/open). MRO adds value to base R by including additional open-source packages such as the [Intel Math Kernel Library](https://en.wikipedia.org/wiki/Math_Kernel_Library).
-
 For information on which version of R is included with each SQL Server version, see [Python and R versions](../sql-server-machine-learning-services.md#versions).
 
 > [!IMPORTANT]
diff --git a/docs/machine-learning/package-management/tips-for-using-r-packages.md b/docs/machine-learning/package-management/tips-for-using-r-packages.md
@@ -24,11 +24,9 @@ As an administrator installing R packages for the first time, knowing a few basi
 
 R packages frequently depend on multiple other packages, some of which might not be available in the default R library used by the instance. Sometimes a package requires a different version of a dependent package than what's already installed. Package dependencies are noted in a DESCRIPTION file embedded in the package, but are sometimes incomplete. You can use a package called [iGraph](https://igraph.org/r/) to fully articulate the dependency graph.
 
-If you need to install multiple packages, or want to ensure that everyone in your organization gets the correct package type and version, we recommend that you use the [miniCRAN](https://mran.microsoft.com/package/miniCRAN) package to analyze the complete dependency chain. minicRAN creates a local repository that can be shared among multiple users or computers. For more information, see [Create a local package repository using miniCRAN](create-a-local-package-repository-using-minicran.md).
-
 ### Package sources, versions, and formats
 
-There are multiple sources for R packages, such as [CRAN](https://cran.r-project.org/) and [Bioconductor](https://www.bioconductor.org/). The official site for the R language (<https://www.r-project.org/>) lists many of these resources. Microsoft offers [MRAN](https://mran.microsoft.com/) for its distribution of open-source R ([MRO](https://mran.microsoft.com/open)) and other packages. Many packages are published to GitHub, where developers can obtain the source code.
+There are multiple sources for R packages, such as [CRAN](https://cran.r-project.org/) and [Bioconductor](https://www.bioconductor.org/). The official site for the R language (<https://www.r-project.org/>) lists many of these resources.
 
 ::: moniker range=">=sql-server-2016"
 R packages run on multiple computing platforms. Be sure that the versions you install are Windows binaries.
diff --git a/docs/machine-learning/r/r-server-standalone.md b/docs/machine-learning/r/r-server-standalone.md
@@ -29,7 +29,6 @@ SQL Server 2016 is R only. SQL Server 2017 supports R and Python. The following
 | Component | Description |
 |-----------|-------------|
 | R packages | [**RevoScaleR**](ref-r-revoscaler.md) is the primary library for scalable R with functions for data manipulation, transformation, visualization, and analysis.  <br/>[**MicrosoftML**](ref-r-microsoftml.md) adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis. <br/>[**sqlRUtils**](ref-r-sqlrutils.md) provides helper functions for putting R scripts into a T-SQL stored procedure, registering a stored procedure with a database, and running the stored procedure from an R development environment.<br/>[**olapR**](ref-r-olapr.md) is for specifying MDX queries in R.|
-| Microsoft R Open (MRO) | [**MRO**](https://mran.microsoft.com/open) is Microsoft's open-source distribution of R. The package and interpreter are included. Always use the version of MRO bundled in setup. |
 | R tools | R console windows and command prompts are standard tools in an R distribution. Find them at \Program files\Microsoft SQL Server\140\R_SERVER\bin\x64. |
 | R Samples and scripts |  Open-source R and RevoScaleR packages include built-in data sets so that you can create and run script using pre-installed data. Look for them at \Program files\Microsoft SQL Server\140\R_SERVER\library\datasets and \library\RevoScaleR. |
 | Python packages | [**revoscalepy**](../python/ref-py-revoscalepy.md) is the primary library for scalable Python with functions for data manipulation, transformation, visualization, and analysis. <br/>[**microsoftml**](../python/ref-py-microsoftml.md) adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis.  |
diff --git a/docs/machine-learning/r/sql-server-r-services.md b/docs/machine-learning/r/sql-server-r-services.md
@@ -78,7 +78,6 @@ You can use open-source packages and frameworks, in addition to Microsoft's ente
 | [MicrosoftML (R)](../r/ref-r-microsoftml.md) | Adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis. |
 | [olapR](../r/ref-r-olapr.md) | R functions used for MDX queries against a SQL Server Analysis Services OLAP cube. |
 | [sqlrutils](../r/ref-r-sqlrutils.md) | A mechanism to use R scripts in a T-SQL stored procedure, register that stored procedure with a database, and run the stored procedure from an [R development environment](../r/set-up-data-science-client.md). |
-| [Microsoft R Open](https://mran.microsoft.com/rro) | Microsoft R Open (MRO) is the enhanced distribution of R from Microsoft. It is a complete open-source platform for statistical analysis and data science. It is based on and 100% compatible with R, and includes additional capabilities for improved performance and reproducibility. |
 
 ## How do I get started with R Services?
 
diff --git a/docs/machine-learning/sql-server-machine-learning-services.md b/docs/machine-learning/sql-server-machine-learning-services.md
@@ -101,7 +101,6 @@ The following Python and R packages from Microsoft are also included at installa
 | R | [MicrosoftML (R)](r/ref-r-microsoftml.md) | **Applies only to SQL Server 2016, SQL Server 2017, and SQL Server 2019.** Adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis. |
 | R | [olapR](r/ref-r-olapr.md) | **Applies only to SQL Server 2016, SQL Server 2017, and SQL Server 2019.** R functions used for MDX queries against a SQL Server Analysis Services OLAP cube. |
 | R | [sqlrutils](r/ref-r-sqlrutils.md) | **Applies only to SQL Server 2016, SQL Server 2017, and SQL Server 2019.** A mechanism to use R scripts in a T-SQL stored procedure, register that stored procedure with a database, and run the stored procedure from an [R development environment](r/set-up-data-science-client.md). |
-| R | [Microsoft R Open](https://mran.microsoft.com/rro) | **Applies only to SQL Server 2016, SQL Server 2017, and SQL Server 2019.** Microsoft R Open (MRO) is the enhanced distribution of R from Microsoft. It is a complete open-source platform for statistical analysis and data science. It is based on and 100% compatible with R, and includes additional capabilities for improved performance and reproducibility. |
 
 For more information on which packages are installed with Machine Learning Services and how to install other packages, see:
 
