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Complete ETL process to create a database on Google Cloud Platform

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Global Temperatures and Health Database

This project creates a database consisting of Global Temperature and Health Statistics data ranging from the mid-18th century to 2015. The database is hosted on BigQuery in GCP and was created via Beam pipelines with a workflow automated through Airflow. A description of the database is included in DATASETS.txt as well as a breakdown of the project in slides.pdf.

Colin Phillips, clp3299, colinphillips@utexas.edu

Adnan Desai, ayd265, adnandesai@utexas.edu

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