Uber Data Analytics Project

Overview

This project performs data analytics on Uber trip data using Google Cloud Platform (GCP) and various tools to store, process, and visualize data for insights.

Architecture

Technology Stack

Programming Language: Python

Google Cloud Platform

1. Google Storage
2. Compute Instance
3. BigQuery
4. Looker Studio

Data Pipeline Tool: Mage

Dataset Source: NYC TLC Trip Record Data Data Dictionary: Trip Records Data Dictionary Sample Dataset: uber_data.csv

Project Steps

1. Store raw data in Google Cloud Storage.
2. Process data using Compute Instance and Mage.
3. Load data into BigQuery.
4. Analyze data with Looker Studio.

Based on the tutorial by Darshil Parmar. More details here