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 ...

The documents reveal how Google Search is using, or has used, clicks, links, content, entities, Chrome data and more for ranking.

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 ...