#sql
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Large Database Models: Bringing AI Directly to SQL Data
Large Database Models (LDMs) allow AI to perform semantic analysis directly within relational databases, eliminating the need to move data to external platforms for machine learning and enabling SQL-based similarity searches.
IBM TechnologyPowering Intelligent Agents with AI-Native Databases
Google Cloud is evolving databases into 'Agentic Data Clouds' by integrating AI primitives—like vector search, graph retrieval, and forecasting—directly into the SQL layer to provide agents with high-fidelity, secure, and real-time enterprise context.
Google Cloud TechBeyond the DELETE: Managing Bulk Data Operations in Production
Bulk deletion in production is not a SQL problem, but an operational one. Success requires managing database locks, replica lag, storage reclamation, and resumability, or better yet, designing for data lifecycle management from the start.
Using AI.AGG for Aggregate Data Reasoning in BigQuery
The AI.AGG function in BigQuery allows users to perform generative AI reasoning over entire groups of data using natural language instructions within a single line of SQL.
Google Cloud TechSQL Execution Order Unlocks All Clauses
Databases run FROM/JOIN first, SELECT 8th—explains why SELECT aliases fail in WHERE/HAVING but work in ORDER BY, and WHERE filters rows before GROUP BY while HAVING filters groups after.
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