https://github.com/yosrak5/data-streaming

This project involves the development of a robust data engineering pipeline that orchestrates the seamless ingestion, processing, and storage of data .
https://github.com/yosrak5/data-streaming

airflow-dags apache cassandra docker etl kafka python spark

Last synced: about 2 months ago
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This project involves the development of a robust data engineering pipeline that orchestrates the seamless ingestion, processing, and storage of data .

• Host: GitHub
• URL: https://github.com/yosrak5/data-streaming
• Owner: yosrak5
• Created: 2024-10-05T17:59:53.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-10-06T09:37:24.000Z (4 months ago)
• Last Synced: 2024-10-30T06:33:41.915Z (3 months ago)
• Topics: airflow-dags, apache, cassandra, docker, etl, kafka, python, spark
• Language: Python
• Homepage:
• Size: 7.81 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data-Streaming

This project involves the development of a robust data engineering pipeline that orchestrates the seamless ingestion, processing, and storage of data. The pipeline is built using a combination of Python, Apache Airflow for workflow automation, and Apache Kafka for real-time data streaming. It follows a comprehensive ETL (Extract, Transform, Load) process and leverages Cassandra as a distributed database for scalable data storage. All components are containerized using Docker, ensuring easy deployment and scalability across environments.