The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for reliable AI systems.

Arrow-Based SQL Engine for Iceberg: Dremio's query engine was built natively on Apache Arrow, the open columnar standard Dremio co-created, making it uniquely suited for Iceberg workloads. It ...

AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

IF NOT EXISTS (SELECT 1 FROM information_schema.columns WHERE table_name = 'ai_generated_questions' AND column_name = 'topic') THEN ALTER TABLE ai_generated_questions ADD COLUMN topic TEXT; IF NOT ...

I’ve been working with Microsoft BI tools for 28 years now and for all that time Microsoft has been consistent in its belief ...

-- Adds occurrence_period (tstzrange) and recurrence_days (int[]) to memories table. -- These columns are already in the main schema files for new installs.