AI is changing how developers and analysts write, debug, and optimize SQL — from natural language query generation to intelligent schema-aware assistance. Tools like Oracle APEX AI Assistant, Claude, ...

From ER diagrams to advanced SQL queries, mastering database design unlocks the ability to turn raw data into actionable insights. Practical labs, real-world projects, and optimization techniques help ...

There’s a lot of excitement around the latest AI breakthroughs—from Google’s Gemini 3 to Anthropic’s Claude Sonnet—in the race toward AI reasoning. But here’s what the headlines miss: Better models ...

That architectural choice matters because OpenViking is not trying to remove semantic retrieval. It is trying to constrain and structure it. The project’s retrieval pipeline first uses vector ...

What's the role of vector databases in the agentic AI world? That's a question that organizations have been coming to terms with in recent months. The narrative had real momentum. As large language ...

-- Write a query to find employees whose name starts with 'A'.

What if I told you that a simple change could make your Power Query refresh from SharePoint up to 700% faster? If you’ve ever found yourself staring at a progress bar that refuses to budge, you’re not ...

Abstract: Large language models (LLMs) are being woven into software systems at a remarkable pace. When these systems include a back-end database, LLM integration opens new attack surfaces for SQL ...

In the traditional cascade modeling approach, automatic speech recognition (ASR) first produces a single text string, which is then passed to retrieval. Small transcription errors can change query ...