Cloud data warehouse Snowflake plans to spend $6 billion on Amazon’s custom Graviton CPUs and AI accelerators over the next five years. The collab aims to reduce friction in connecting Snowflake ...

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...

US cyber authorities have added a critical Drupal Core SQL injection flaw to their exploited-vulnerabilities list after attacks began targeting unpatched websites using PostgreSQL databases, ...

TIP (Technical Internship Programme) details including status check, eligibility, benefits, premium rates and how to apply ...

New dbForge release improves AI-powered SQL generation and adds PostgreSQL visual query building and table editing By ...

A small social media poll from Visual Studio guru Mads Kristensen split respondents over whether the IDE should add more database tooling, while the discussion quickly turned to existing SQL project ...

It’s time to switch to a new development tool for SQL Server and Azure SQL. Here’s how to get started with the MSSQL ...

AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.

You don't need to fear imported spreadsheets anymore.

作者 ｜ Abhijit Ubale译者 ｜ 张卫滨引 言企业 AI 团队长期面临着一个难题，那就是大多数检索增强生成 (RAG) 系统要么擅长结构化的数据查询，要么擅长文档检索，但当两者需要同时使用时就会无能为力。比如财务分析师提出“为什么欧洲业务表现不佳？”这类问题时，既需要 SQL 数据库中的结构化数据 ...

Enterprises modernize legacy mainframe systems with AI agents, leveraging existing infrastructure while overcoming integration challenges.