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✨ Mage is an open-source, hybrid framework for transforming and integrating data. 🤓 Follow along as our DevRel expert, Matt Palmer, walks us through an end-to-end pipeline using Mage to read data from an API, transform it, and write it to Postgres. 00:00 Overview 00:50 Creating a Pipeline 01:15 Adding your first Block 01:53 In-line data testing 02:37 Transforming data 03:18 Loading data 03:41 Recap and outro Mage is built on the following core principles: 😌 Easy developer experience → Open-source engine that comes with a custom notebook UI for building data pipelines. 💿 Data is a first-class citizen → Designed from the ground up specifically for running data-intensive workflows. 🏗️ Engineering best practices built-in → Build and deploy data pipelines using modular code. No more writing throwaway code or trying to turn notebooks into scripts. 🧱 Scaling made simple → Analyze and process large data quickly for rapid iteration. Explore the magical future of data workflows with Mage! 🧙 ✨ Try Mage Pro for free today: https://mage.ai/pro 🚀 Get Demo: https://mage.ai/getdemo 🌎 Join our community of 7000+ data engineers: https://mage.ai/chat