Mage

Join us next month for Learn with Mage as Fred Rivollier (Librenergy Solutions Inc.) shows us how to get AI-generated diagnostics from raw IoT data to engineer inboxes - with zero human intervention. We’re covering the data foundation, the production architecture, and how to actually trust autonomous AI with critical infrastructure. See you there!

Mage.ai - Want to master modern data pipelines? 🚀 The Mage Academy Foundations course is the perfect place to level up your Data Engineering skills! 🧙♂️✨ Whether you are just starting or looking to refine your stack, this course takes you from zero to fully operational in just 54 hands-on lessons. Here is what you will master: 🔹 Core Building Blocks: Create, enhance, and customize workflows using data loaders, transformers, and SQL blocks. 🔹 Automation & Control: Set up custom triggers to deliver your data exactly where and when it needs to go. 🔹 CI/CD & Deployment: Learn how to deploy pipelines at scale using Git and keep them running efficiently. 🔹 Real-World Application: Put your new skills to the test by building a complete Star Schema for your final project! The best part? All you need to get started is basic Python and intermediate SQL. Ready to bring your data workflows to life? Let's build! 💡📊 Here is the course link to get started: https://lnkd.in/dRDaCPs2 #DataEngineering #MageAcademy #DataPipelines #Python #SQL #DataScience #Mage.ai #MagePro

Power up your AI pipelines and launch your team into the Gateway Galaxy. 🌌⭐️ The Super Mario Galaxy release is here, and it's built for teams who want reliable, relevant, and timely data. The gateway is open. Here's what just landed in Mage Pro: 🎯 Native integrations for Salesforce Marketing Cloud, Google Campaign Manager 360, Display & Video 360, Microsoft Ads, and TikTok Ads 🤖 mage-agent CLI with MCP support - build locally with Cursor, Claude Code, and Codex in the loop 🔐 Enterprise Git auth via PAT and SSH 🏭 Microsoft Fabric Warehouse as a first-class integration 🧩 Workspace management built for multi-team deployments Learn more 👉 https://lnkd.in/g9h9WcFi #dataengineering #ai #mcp

The number of tools it takes to ship a data pipeline is costing you more than you think. 💸 A tool to ingest your data. Another to transform it. One more to orchestrate your workflows. Something to monitor your runs. And don't forget testing and alerting. 🧪 That's five or six tools before you've written a single line of code. Every tool is another upgrade cycle, another mental model, another place to check when something goes wrong. 🔧 We wrote about what that actually costs data teams and what life looks like with fewer tools in the stack. 🔗 Read the full article: https://lnkd.in/dra9iYZz #dataengineering #datapipelines 

Your pipeline ran. No errors fired. But... Your data was already dirty. 🚨 That's the silent data gap. And AI doesn't care. It just acts on whatever data is available. Swipe through to see what silent data gaps look like and how Mage Pro closes that gap before it ever reaches your models. 👇 #dataengineering #AI

Been using AI for a while now and seeing a lot of companies trying to use it. The same 3 things keep popping up: data, data, data. It’s funny how we went from ML to LLMs and the bottleneck is still data; not quantity of data (like in ML) but reliable, relevant, and timely data. I outlined my observations here, would love your thoughts! https://lnkd.in/g6h6Rewn #data #ai #aiready #aireadydata #mage

Librenergy is running autonomous battery diagnostics in production using Mage. ⚡ Fred Rivollier, Founder of Librenergy Solutions Inc., chose Mage as the foundation for his client's entire data stack for utility-scale Battery Energy Storage Systems. Three workflows now run in production: 🔋 Real-time IoT ingestion from BESS sites into ClickHouse 📊 Automated dbt jobs, notebooks, and scheduled reports 🔧 DevOps automation that replaced other tools The standout is the AI-native diagnostic pipeline. A Mage block runs Claude Code as a subprocess, connects to a ClickHouse MCP server, queries daily battery fault data, and delivers a complete diagnostic report to stakeholders every morning. One prompt. Full production output. No manual work. 🤖 This is what an AI-ready data stack looks like in the wild. Want Cole Freeman to do a lunch and learn with Fred on this topic? Drop a comment below 👇 #dataengineering #AI #renewableenergy #BESS #energystorage

Your AI is only as good as the data pipeline behind it. 🤖 Here's what AI-ready data actually looks like and how Mage Pro helps you build pipelines that deliver it. Swipe through 👇 #dataengineering #AI 

Your pipeline ran. No errors fired. Monitoring showed green ✅ But, the data it delivered was broken 🚨 This is the silent data gap problem. It's not a crashed pipeline. It's a pipeline that completed successfully and fed your AI systems incomplete, stale, or missing data. And even worse, your system consumed that data without hesitation. By the time anyone noticed your AI system already shouted out an answer like a 9 year old with foot in mouth syndrome. So, we decided to break down what causes the silent data gap, why traditional observability tools may miss it, and how Mage closes that gap before it ever reaches your models. Read the full article at the link below. 👇 🔗 https://lnkd.in/eQDAXwZH Less friction. More shipping. 🚀 #AI #dataengineering

Mage Pro now supports uv for dependency management. 📦 If you’re used to running pip install -r requirements.txt, the workflow is similar. But now it’s faster and fully managed for you. It's simple just: ✅ Update and save your requirements.txt ✅ Click install dependencies ✅ Run mage deps install in the terminal Thats it! No manual environment setup. No extra steps. Just faster installs out of the box. We put together a short walkthrough showing exactly how it works in Mage Pro.👇 🔗 https://lnkd.in/eYJ4cqum Less friction. More shipping. 🚀 #dataengineering #python