End to End Data Engineering Projects - Realtime Streaming for Anomaly Detection | An End to End Data Engineering Project

In this video, you will be developing an end-to-end data engineering project focused on Anomaly Detection using state-of-the-art tools like Quix Streams, Redpanda, and Docker. We'll guide you step by step through building a complete data pipeline, from collecting stock market data to deploying an advanced anomaly detection model. You'll gain hands-on experience with real-time data streaming, model building with Isolation Forests, and containerizing your project for seamless integration. This project is perfect for anyone looking to level up their skills in modern data engineering and machine learning! What You Will Learn: ✅ How to architect a complete anomaly detection pipeline ✅ Methods for fetching stock market data via FTP ✅ Setting up a stock data producer with Quix Streams ✅ Creating and deploying an anomaly detection system using Isolation Forests ✅ Real-time data transformation and processing with Quix Streams ✅ How to integrate Docker for streamlined project deployment ✅ Tips on troubleshooting and resources from Quix documentation