Automated Reporting System for Performance Monitoring
Joshua Yeung
This project integrates various data sources from network management systems for performance monitoring and reporting.
Python libraries used: Streamlit, Pandas, SQLAlchemy, openpyxl
Technology Stack: Airflow, Greenplum, MySQL, Docker
Input: Metrics in CSV format
Output: Interactive Dashboard, Excel Reports
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Posted May 20, 2024
https://towardsdatascience.com/designing-data-pipeline-system-for-telco-performance-measurement-3fa807dbd009
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