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SQL Server R Services: Working with Multiple Data Sets

Although it is easy to use SQL Server R Services to create R scripts that incorporate SQL Server data by passing in a T-SQL query as an argument when calling the sp_execute_external_script stored procedure, you are limited to that one query, unless you pass additional data directly between R and SQL Server via CSV files. It is simple to do, and opens up many additional opportunities for data analysis. Robert Sheldon explains how.

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Importing JSON Data from Web Services and Applications into SQL Server

To support many applications, it makes sense for the database to work with JSON data, because it is the built-in way for a JavaScript or TypeScript application to represent object data. It can mean less network traffic, looser coupling, and less need for the application developer to require full access to the base tables of the database. However, it means that the database must do plenty of checks first before importing. Phil Factor explains how it can be easily done.

External Article

Even More SQL Server Features that Time Forgot

SQL Server works well, and Microsoft does everything it can to keep it relevant and competitive: As with everything in real life, it doesn't don't always get it completely right, and Rob Sheldon continues his quest through the jungle of past features to rediscover and explore the ones that time forgot. Here, he comes across Lightweight Pooling, XML Indexes, Stretch Databases, SQL Variants, Transaction Savepoints and In-Memory OLTP.

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Question of the Day

The Distance Metric

In the new VECTOR_DISTANCE() function in SQL Server 2025, the first parameter is the distance_metric. What is this?

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