Construindo um Data Platform de ERP do zero com Python, PostgreSQL e Docker
📰 Medium · Python
Learn how to build a data platform from scratch using Python, PostgreSQL, and Docker to transform CSV files into a data pipeline with quality checks and data marts
Action Steps
- Transform 13 CSV files into a data pipeline using Python
- Configure a PostgreSQL database to store the transformed data
- Build a Docker container to deploy the data pipeline
- Implement data quality checks and quarantine for invalid data
- Create data marts for efficient data analysis and reporting
Who Needs to Know This
Data engineers and analysts can benefit from this tutorial to build a robust data platform for their organization, leveraging Python, PostgreSQL, and Docker for efficient data processing and storage
Key Insight
💡 Using Python, PostgreSQL, and Docker can help you build a scalable and efficient data platform for transforming and analyzing large datasets
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🚀 Build a data platform from scratch with Python, PostgreSQL, and Docker! 📊
Full Article
Como transformei 13 arquivos CSV em um pipeline de Engenharia de Dados com RAW, STAGING, CORE, Data Quality, Quarantine e Data Marts Continue reading on Medium »
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