SQL Server Drill Down SQL Server Drill Down explores all aspects of Microsoft SQL Server and related applications, with a particular emphasis on issues of interest to SQL Server data professionals.

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs.

Seeded Database Matching Under Noisy Column Repetitions The re-identification or de-anonymization of users from anonymized data through matching with publicly-available correlated user data has raised ...

The in-memory system is promising for improving the performance of column-oriented database management systems (DBMSs). However, in comparison with NAND-flash-based solid-state drives (SSDs), dynamic ...

Google rolled out an update to Performance Max campaigns, introducing a new “Source” column in the Search Terms Insights. This enhancement aims to provide advertisers with greater transparency ...

Description When I use read_database from polars-py it uses the types from the schema_override dictionary or tries to infer the type of each column by reading a few values. If the type (provided or ...

Laravel Search String provides a simple solution for scoping your database queries using a human readable and customizable syntax. It will transform a simple string into a powerful query builder. For ...