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GitHub / ramkumarpj / project-three

SEC Finance Data Engineering - ETL process for SEC Finance data of S&P 500 companies. Jupyter Notebooks to run ETL work flows. The final dataset is hosted in MongoDB Atlas(cloud). The API is written using Python with PyMongo and Flask libraries. The dashboards with charts are hosted in MongoDB Atlas.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ramkumarpj%2Fproject-three

Stars: 0
Forks: 3
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 3.01 MB
Dependencies: 0

Created: 3 months ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago

Topics: beautifulsoup, data-engineering, etl, extract-transform-load, flask, jupyter-notebook, mongodb, mongodb-atlas, mongodb-atlas-cloud, pandas, pymongo, python

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