PostgreSQL Course Review: Empowering Database Knowledge

One lesson from building WanderData API: keep it simple. Simple schema design beats fancy ones 🧱. And PostgreSQL reminded me that stacking 3+ CTEs with heavy arguments isn’t always the best path ⚙️. The API passed all tests ✅, a small win for the week. Now the real question: should I maintain it and give it a proper home? 🌐 Still learning, still building. #PostgreSQL #API #Building #ProgressOverPerfection #Schemas

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🚀 Learning never stops! Excited to explore MongoDB through the free courses launched by GeeksforGeeks × MongoDB. These courses are a great opportunity to understand one of the most popular NoSQL databases used in modern applications. Why this is worth exploring: • Beginner-friendly learning modules • Official MongoDB badges and certifications • Helps build strong backend and database fundamentals • Valuable for students interested in development and data-related roles Always grateful for opportunities that help in learning new technologies and upgrading skills. If you’re interested in databases or backend development, this is definitely something you should check out! #MongoDB #GeeksforGeeks #NoSQL #TechLearning #Upskilling #CareerGrowth GeeksforGeeks

The most important lessons learned from writing a MCP server for PostgreSQL? 🐘 > If I were starting this project from scratch, I'd design for token efficiency from day one rather than re-engineering it after the fact. Our initial prototype returned JSON with no pagination and no filtering, and whilst it made for impressive demos on small databases, it fell apart the moment we pointed it at anything resembling a production dataset. > I'd also invest in better observability earlier. We added token estimation logging that records the approximate token count for every tool result, and it's been invaluable for identifying wasteful patterns. Knowing that a particular tool call consumed an estimated 2,500 tokens makes it much easier to decide whether the output format needs tightening or whether a new filtering parameter would help. Actually, running from a concept to production typically means there’s plenty of lessons learned along the way. Dave Page shares his insights from creating our MCP server for PostgreSQL in detail, here: https://hubs.la/Q044XqsY0 ✨ If you haven’t read it yet, check it out to learn about what’s important to avoid the next time you’re developing an AI application that needs to go to production. #aidevelopment #aiengineering #agenticai #mcp #mcpserver #Postgres #PostgreSQL #OpenSource #engineering #programming #devops #aiops

🚀 𝗗𝗶𝘃𝗶𝗻𝗴 𝗶𝗻𝘁𝗼 𝗔𝗪𝗦 𝗖𝗹𝗼𝘂𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗜 𝗯𝘂𝗶𝗹𝘁 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘁𝗼 𝗽𝗿𝗼𝘃𝗲 𝗶𝘁! In my day to day work I live in SQL, writing queries, building logic, working with the data once it's there. But lately, I have started being curious about what happens before that. 🤔 How does the data actually get there? How is it integrated and transformed before it reaches my queries? 🤷♂️ So I built it myself to find out!💡 𝗔 𝗳𝘂𝗹𝗹𝘆 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗹𝗶𝘃𝗲 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 on AWS that 𝗽𝘂𝗹𝗹𝘀 𝘄𝗲𝗮𝘁𝗵𝗲𝗿 𝗱𝗮𝘁𝗮 from 𝗢𝗽𝗲𝗻𝗪𝗲𝗮𝘁𝗵𝗲𝗿 (https://lnkd.in/eW5nCeNC) every morning at 8AM automatically, stores it in S3, transforms it through AWS Glue, and loads it into a PostgreSQL database on RDS, with zero manual intervention.‼️ The full stack: ⚡ 𝗔𝗪𝗦 𝗟𝗮𝗺𝗯𝗱𝗮 → 𝗘𝘃𝗲𝗻𝘁𝗕𝗿𝗶𝗱𝗴𝗲 → 𝗦𝟯 → 𝗚𝗹𝘂𝗲 𝗖𝗿𝗮𝘄𝗹𝗲𝗿 → 𝗚𝗹𝘂𝗲 𝗘𝗧𝗟 → 𝗥𝗗𝗦 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 → 𝗗𝗮𝘁𝗮𝗚𝗿𝗶𝗽 ⚡ I kept the scope small (5 cities, one API) intentionally. The goal was to understand the architecture, not the data. What struck me most is that once the pipeline is set up, it just runs. Scheduling, scaling, service connectivity, all handled by AWS! This is what makes cloud infrastructure so powerful for data work. ☁️ 📄 Full project summary here: [https://lnkd.in/ef9v7Bsa] #DataEngineering #AWS #CloudComputing #ETL #PostgreSQL #Python

Backend Learning Journey – Day 2 🚀 Today I went through the basics of MongoDB and understood how data is stored using collections and documents. It’s interesting to see how NoSQL databases structure and manage data for modern applications. 💻 I’m sharing these small updates to stay consistent and accountable while learning backend development. 🖥️ 💾 If you’ve worked with MongoDB or backend development before, I’d love to hear any advice or resources that helped you. 😊 Sheryians Coding School #backenddevelopment #mongodb #learninginpublic

MongoDB + AI Nightmare Fixed by MCP! Traditional LLM struggles with MongoDB: User asks → LLM guesses queries → Parse errors → Lost connections → Frustrated users MCP revolution: User asks → MCP maintains state → Secure MongoDB tools → Instant JSON results - Persistent sessions that remember context - Schema-safe queries, no injection risks - Lightning-fast, zero parsing errors Perfect for RAG/LangChain developers! 🔗 MongoDB + MCP deep dive : https://lnkd.in/gRMsdE6F #MongoDB #MCP #LLM #RAG #LangChain #NoSQL

Excited to share my latest open-source project: pg_ai! 🚀 An MCP (Model Context Protocol) server designed specifically for PostgreSQL, pg_ai empowers LLMs to interact intelligently with your database. Define custom "skills" as markdown files to encapsulate business logic, and leverage the SKILL Graph technique for dynamic, on-demand context growth, without overwhelming your model. Inspired by Anthropic's Claude Skills and built for seamless AI-database integration. Check it out on GitHub: https://lnkd.in/gmBZaD_c #AI #PostgreSQL #OpenSource #LLM #ClaudeSkills #SkillGraph

If you're working with #AgenticAI, odds are you have a need for a MCP server. Why not use #PostgreSQL? Get deep insights on your database without losing context. Our open source MCP server for #Postgres works with a wide variety of MCP-compatible agents, including Claude Code and Cursor, via HTTP and HTTPS, with a natural language web interface included (complete with authentication). Give it a try on GitHub & don't forget to leave a star ⭐ while you're there: https://hubs.la/Q045Kfk_0 Or check out the full demo on YouTube: 📹 https://hubs.la/Q045Km_B0 #aiengineering #ai #llm #aiops #claude #anthropic #cursor #ollama #openai #github #opensource #mcpserver Paul Rothrock