Скачать или смотреть Automotive Manufacture Data Pipeline

🚀 Building a Data Lakehouse for a Smart Factory | End-to-End Data Engineering Project
Ever wondered how modern factories use data to prevent costly shutdowns and predict the future? In this video, I walk you through a complete, end-to-end data engineering project that builds a modern Data Lakehouse for a smart automotive factory.

We'll tackle real-world business challenges faced by manufacturers, such as unexpected machine failures and siloed data systems (IoT, supply chain, sales). The solution is a centralized data platform that integrates these disparate sources, enabling powerful capabilities like predictive maintenance and accurate demand forecasting.

This project is a perfect case study for anyone interested in data engineering, big data, and building scalable, real-world data platforms.

The scenario is based on new automotive factories where operational efficiency is key. We address two main challenges:

1. Predictive Maintenance: Moving from simple monitoring of IoT sensor data to predicting machine failures before they happen, saving millions in downtime.
2. Unified Data: Breaking down data silos by integrating supply chain data (PostgreSQL) and sales data (CRM) to align production with market demand.

🔗 Get the Code & Full Project Details on GitHub: ArkanNibrastama

Thanks for watching! If you found this project helpful, please like, subscribe, and leave a comment with your questions or feedback.

#DataEngineering #DataLakehouse #ApacheSpark #ApacheFlink #ApacheIceberg #BigData #PredictiveMaintenance #IoT #DataPipeline #ProjectPortfolio