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 ...
Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...
AI agents promise to transform business workflows, but their effectiveness depends on secure, reliable access to enterprise ...
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 risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for reliable AI systems.
AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...
Kumo Launches KumoRFM-2, A Foundation Model Built to Replace Traditional Enterprise Machine Learning
Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...
Transitive 2.0 adds ClickHouse, Grafana, and Alertmanager, offering advanced storage and monitoring to help scale growing ...
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