Aggregate functions help turn large datasets into simple summaries used across many fields. GROUP BY and HAVING allow structured grouping and filtering of data for clearer reports. Functions like ...
The first release candidate (RC0) of SQL Server 2025 is now available. As we move toward general availability, our focus shifts to delivering enhanced stability, performance, and product improvements ...
Abstract: This paper introduces a tool designed to enhance query accuracy in relational databases by automatically detecting and correcting typographical errors in Structured Query Language (SQL) ...
Databases are essential for storing and retrieving structured data supporting business intelligence, research, and enterprise applications. Querying databases typically requires SQL, which varies ...
Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data. In May 1974, Donald Chamberlin and Raymond Boyce published a paper on ...
Abstract: Model databases track the accuracy of models on pre-trained weights. The models are stored as executable code and extracted on deployment. Instead of extracting runnable code and data out of ...
### Issue Description Specifying `dtype=pd.Float64Dtype()` while creating a pandas dataFrame leads to inconsistent results in using `series.isnull()` vs. `series.apply(pd.isnull)`. If I don't specify ...
We implemented a new Azure Function using the SQL Trigger and have enabled Change Tracking on the SQL Server database and tables we want (SQL Server VM, not Azure SQL). When we enable the Azure ...
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