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GitHub / PreetKothari / Uber_etl_pipeline_data_analytics_project

Developed an interactive dashboard utilizing Google Looker Studio to analyze Uber usage patterns in NYC. Designed a robust data model and implemented an efficient data pipeline using Mage AI on GCP's VM infrastructure. Utilized Google BigQuery for in-depth analytics and leveraged Google Cloud Platform for data processing.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PreetKothari%2FUber_etl_pipeline_data_analytics_project

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 5.49 MB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago

Topics: bigquery, compute-instance, data-analytics, data-engineering, data-modelling, etl-pipeline, gcp-vm, google-cloud-platform, google-cloud-storage, looker-studio, mage-ai

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