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extract-transform-load

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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.

  • Updated Mar 5, 2024
  • Jupyter Notebook

The purpose of this project is to extract, transform & load datasets into a database in pgAdmin while providing step by step instructions for users to follow.decided to observe active COVID-19 cases across the world in relation to continued vaccination efforts running from January 1, 2021 to March 21, 2021. We have successfully extracted, transf…

  • Updated Jun 6, 2021
  • Jupyter Notebook

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