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.
Power BI provides correlation plot visualization in the Power BI Visuals Gallery to create Correlation Plots for correlation analysis. In this post, Siddharth Mehta shows how to create a correlation plot in Power BI Desktop using a sample dataset of car performance.
Brent Ozar explains why DBAs should read this book about the future of database administration at scale.
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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.
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.
Schools don't necessarily teach people how to code, but they could do a better job.
Learn how to implement an advanced and cost-effective database unit-testing framework with tSQLt in SQL Server Management Studio.
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In the new VECTOR_DISTANCE() function in SQL Server 2025, the first parameter is the distance_metric. What is this?
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