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Natural Language Query for SQL Server

Data is usually the most important asset in organizations, but only SQL developers can frequently access that data. Technical teams often write queries for non-technical users. This restricts agility, slows decision-making, and creates a bottleneck in data accessibility. One possible remedy is natural language processing (NLP), which enables users to ask questions in simple English and receive answers without knowing any code. Still, the majority of NLP-to-SQL solutions are cloud-based, which raises issues with cost and privacy.

External Article

Unlocking the Power of FULL OUTER JOIN in SQL: Performance, Use Cases & Examples

The JOIN statement is one of the most common operations SQL developers perform. Yet in a world ruled by Inner and Left Joins, the poor Full Outer Join is like Cinderella before the ball – allowed out on only the rarest of occasions. In an (unscientific) survey I once performed of SQL developers at one Fortune 100 firm, half of the developers had never used a Full Outer Join in production code, and the rest had used it in a tiny handful of occasions.

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Question of the Day

Creating JSON II

On SQL Server 2025, what happens when I run this code:

SELECT JSON_OBJECTAGG( N'City':N'Denver' RETURNING JSON)
GO

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