New enterprise connectors for SharePoint Online, OracleDB, SMB, and LDAP expand out-of-the-box data access for AI ...

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

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

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 ...

Abstract: This study proposes an integrated NLP and DSL framework to enhance data query and mining in the tobacco industry. Traditional query methods face efficiency and accuracy challenges when ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

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 ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

Discover how agentic AI is reshaping databases. Explore critical insights and prepare for the future of data management today ...

The web framework IHP 1.5.0 brings a new database layer, significant performance gains, and an improved modular architecture.

Power BI is among the most essential tools for the data and analytics ecosystem. It will be the leading BI tool for Microsoft ecosystem companies in 2026 and for most enterprises, mid-market companies ...