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 ...

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 ...

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.

Faculty members at Northeast Community College are beginning to integrate artificial intelligence tools into their classrooms ...

Starburst provides a high-performance data lakehouse platform powered by the above-mentioned Trino (a fast, distributed SQL ...

From cost and performance specs to advanced capabilities and quirks, answers to these questions will help you determine the ...

Autocratic development governance dismantles public engagement, facilitates human rights violations, and exacerbates social ...

For conversational interaction to work, voice is merely the top layer. Underneath is a stack most organizations underestimate.

Overview Modern Python automation now relies on fast tools like Polars and Ruff, which help cut down processing time and ...

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 ...

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