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 ...

SAP is to acquire master data management and data integration specialist Reltio with the promise of helping integrate data ...

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

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 ...

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

Capturing tribal knowledge organically and creating a living metadata store that informs every AI interaction with ...

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 ...

-- Idempotent and safe to re-run. Aborts if prechecks fail. -- Rollback: Re-adding dropped columns will lose original values unless restored from backup. Ensure backups exist. SELECT count(*) INTO ...

The first thing to make clear is that the reasons why Power BI doesn’t work properly with other semantic models are purely ...