tknishh/uber-mage-data-analysis

Tanish Khandelwal

Database Engineer
Data Analyst
ML Engineer
Google Cloud Platform
Looker
Python

Uber-Mage-data-Analysis

Introduction

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.

Architecture

Technology Used

Programming Language - Python
Google Cloud Platform
Google Storage
Compute Instance
BigQuery
Looker Studio
Modern Data Pipeine Tool - 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 and times, pick-up and drop-off locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts.

Data Model

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