A collection of SQL exercises, Python database integration projects, and a database-backed REST API developed as part of my AI Engineering Learning Roadmap. This repository documents my progression ...

-- 1. This file is for practice and revision. -- 2. Do NOT run DROP/TRUNCATE on the live project tables. -- 3. Destructive DDL examples below use a TEMP table wherever possible. -- 4. DML examples on ...

Discover how to use Google Cloud Database Migration Service to shrink Cloud SQL for SQL server disks with minimal downtime.

The theme for this time is SQL "execution plans."Execution plans are one of the technologies you absolutely must understand when considering database performance.However, this content might also be a ...

Oracle Business Semantic Layer and Business Simulation Engine were announced at Oracle AI World Las Vegas 2026, giving ...

Agentic AI is reshaping cybersecurity. Learn why security data platforms need real-time context, open access, fine-grained ...

BigQuery ObjectRef is now GA. Combine unstructured data with Gemini to build powerful multimodal analytics and conversational agents using SQL.

Discover the technology challenges entrepreneurs must address to improve operational efficiency, reduce costs and build a ...

"I want to create a Notion-like TODO database with filters in Obsidian, but installing various external plugins feels like a ...

Vogel ported Doom to run entirely inside a SQL database The port draws 640×480 full-color frames from about 1,300 lines of SQL Missing BSP-tree traversal in DoomQL prompted Vogel to start a second ...

For the past few years, AI-assisted database development has followed a fairly comfortable model. A developer describes a ...