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 ...
Discover how agentic AI is reshaping databases. Explore critical insights and prepare for the future of data management today ...
Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...
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 ...
The web framework IHP 1.5.0 brings a new database layer, significant performance gains, and an improved modular architecture.
AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...
AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...
Capturing tribal knowledge organically and creating a living metadata store that informs every AI interaction with ...
Before getting into business intelligence tools, it is important to understand what Power BI does first, and then differentiate it with other business intelligence tools. Power BI is a business ...
Here’s why Figma, Microsoft, IBM, and Capital One are among Fast Company’s Most Innovative Companies in enterprise for 2026.
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