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nyc-uber-data-engineering-project-with-google-cloud-platform's Introduction

Uber End-To-End Data Engineering Project on Google Cloud Platform

An end-to-end modern data engineering project, including deployment of ETL pipeline on Google Cloud Platform, using BigQuery for data analysis and leveraging Looker to generate an insight dashboard.

Uber_Dashboard_Present.mov

Architecture

Project Architecture

Technology Stack

Languages:

  • Python
  • SQL

Google Cloud Platform:

  • Google Storage
  • Google Engine
  • Big Query
  • Looker Studio

Modern Data Pipeline Tool:

Data Source

The dataset is provided by TLC Trip Record Data, including yellow and green taxi trip records. It includes 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.

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

Data Dictionary: https://www.nyc.gov/assets/tlc/downloads/pdf/data_dictionary_trip_records_yellow.pdf

Data Modeling

Uber Data Model

ETL Pipeline

ETL pipeline

Looker Dashboard

Uber_Dashboard_Present.mov

Contact

Manyu Zhang ([email protected])

nyc-uber-data-engineering-project-with-google-cloud-platform's People

Contributors

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