Extract, Transform and Load data using Python, Pandas, pgAdmin and jupyter notebook
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Dec 27, 2022 - Jupyter Notebook
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etl-process
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Team project performing ETL on 2020 U.S. Election data, using jupyter notebook, PostgreSQL, and quickDBD.
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Dec 2, 2020 - Jupyter Notebook
An ETL process for a fictitious streaming service, Amazing Prime, was developed in Jupyter Notebook. The code was then refactored into a Python script to automate the ETL process.
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Jul 24, 2020 - Jupyter Notebook
A Case Study of Extract, Transform, Load. Documentaion includes sources of data, types of data wrangling performed (data cleaning, joining, filtering, and aggregating) and the schemata used in the final production database. Technologies used include Pandas, PostgreSQL, Jupyter Notebook.
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Aug 10, 2021 - Jupyter Notebook
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