SQL Server R language tutorials
- Learn how to wrap and run R code in stored procedures.
- Serialize and save r-based models to SQL Server databases.
- Learn about remote and local compute contexts, and when to use them.
- Explore the Microsoft R libraries for data science and machine learning tasks.
R quickstarts and tutorials
|Quickstart: Using R in T-SQL||First of several quickstarts, with this one illustrating the basic syntax for calling an R function using a T-SQL query editor such as SQL Server Management Studio.|
|Tutorial: Learn in-database R analytics for data scientists||For R developers new to SQL Server, this tutorial explains how to perfrom common data science tasks in SQL Server. Load and visualize data, train and save a model to SQL Server, and use the model for predictive analytics.|
|Tutorial: Learn in-database R analytics for SQL developers||Build and deploy a complete R solution, using only Transact-SQL tools. Focuses on moving a solution into production. You'll learn how to wrap R code in a stored procedure, save an R model to a SQL Server database, and make parameterized calls to the R model for prediction.|
|Tutorial: RevoScalepR deep dive||Learn how to use the functions in the RevoScaleR packages. Move data between R and SQL Server, and switch compute contexts to suit a particular task. Create models and plots, and move them between your development environment and the database server.|
|Build a predictive model using R and SQL Server||Learn how a ski rental business might use machine learning to predict future rentals, which helps the business plan and staff to meet future demand.|
|Perform customer clustering using R and SQL Server||Use unsupervised learning to segment customers based on sales data.|
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