Used Sql, Pandas, and Jupyter Notebook to model, engineer and analyze employee data. Database created with PgAdmin4.
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Nov 8, 2020 - Jupyter Notebook
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pgadmin4
Here are 15 public repositories matching this topic...
Created a data pipeline from movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL. Implemented (ETL) - Extract, Transform, Load - to complete
python
postgres
json
csv
sql
etl
postgresql
jupyter-notebook
pandas
pgadmin4
etl-framework
etl-pipeline
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Updated
Jun 23, 2021 - Jupyter Notebook
Performed the Extract, Transform and Load (ETL) process to create a data pipeline on movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.
python
postgres
json
csv
sql
etl
postgresql
jupyter-notebook
pandas
pgadmin4
etl-framework
etl-pipeline
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Updated
Oct 9, 2021 - Jupyter Notebook
Perform the Extract, Transform and Load (ETL) process to create a data pipeline on movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.
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Updated
Oct 11, 2021 - Jupyter Notebook
Performed the Extract, Transform and Load (ETL) process to create a data pipeline on movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.
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Updated
Nov 14, 2021 - Jupyter Notebook
Perform the Extract, Transform and Load (ETL) process to create a data pipeline on movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.
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Updated
Jan 25, 2022 - Jupyter Notebook
Extracted movie data from Kaggle and Wikipedia, transformed the data to be usable for a hackathon competition using Pandas and Jupyter Notebook, and loaded the data to SQL in PGAdmin 4 and merged the datasets.
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Updated
Feb 21, 2022 - Jupyter Notebook
Used Pandas to extract movie data from Kaggle and web scraping, clean data on Jupyter notebook, and load data on PostrgeSQL and PgAdmin.
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Updated
Mar 6, 2022 - Jupyter Notebook
Perform the Extract, Transform and Load (ETL) process to create a data pipeline on movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.
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Updated
Apr 19, 2022 - Jupyter Notebook
Big Data using PySpark, AWS, pgAdmin, postgreSQL, and Google Colab Notebooks to analyze if there any bias towards paid Amazon Reviews.
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Updated
Jun 3, 2022 - Jupyter Notebook
Extract, Transform, and Load (ETL) to create pipeline on movie datasets using PostgreSQL, Python, Pandas, and Jupyter Notebook
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Updated
Jun 14, 2022 - Jupyter Notebook
Practice examples using Google Colab Notebooks: working with big data
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Updated
Sep 3, 2022 - Jupyter Notebook
Big Data Analysis on an Amazon Vine Review Dataset using pgAdmin, PostgresSQL, Python, Pandas, Pyspark, AWS, Google Colab Notebook.
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Updated
Sep 30, 2022 - Jupyter Notebook
Perform the Extract, Transform and Load (ETL) process to create a data pipeline on movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.
python
postgres
json
csv
sql
etl
postgresql
jupyter-notebook
pandas
pgadmin4
etl-framework
etl-pipeline
-
Updated
Oct 12, 2022 - Jupyter Notebook
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