UBER DATA ANALYSIS | DATA ENGINEERING PROJECT WITH GOOGLE CLOUD PLATFORM

Overview

The goal of this project is to perform data analytics on Uber data using various tools and technologies, including GCP Storage, Python, Compute Instance, Mage Data Pipeline Tool, BigQuery, and Looker Studio.

Technology Used

Programming Language - Python

Google Cloud Platform (GCP)

• Cloud Storage
• Compute Instance
• BigQuery
• Looker Studio

Modern Data Pipeline Tool: Mage AI (https://www.mage.ai/)

Dataset Used

TLC Trip Record Data Yellow and green taxi trip records include fields capturing pick-up and drop-off dates/times, pick-up and drop-off locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts.

https://www.nyc.gov/site/tlc/about/tlc-trip-record-data.page