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 ...

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.

SQL Connect’s latest release delivers a modernized platform with Salesforce, Snowflake & Oracle ATP/ADW connectivity, multi-language support and audit controls. With this release, we’re delivering on ...

In-demand skills include data analysis. It has been predicted that in 2026 businesses will place a high value on analysts who ...

Database research and development often require a large number of SQL queries for benchmarking purposes. However, acquiring real-world SQL queries is challenging due to privacy concerns, and existing ...