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A project demonstrating the manual ingestion of retail data from local sources into Google BigQuery for cloud data analysis.

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Retail Project - Data Simulation & BigQuery Integration

This project generates simulated retail data including products, customers, and sales.
The data is then loaded into Google BigQuery for analysis.

Prerequisites

  • Python 3.8+ i worked on 3.12 v
  • Python libraries: pandas, faker, google-cloud-bigquery
  • Google Cloud Platform account with a project configured, BigQuery and Cloud Storage APIs enabled
  • GCP service account with roles BigQuery Data Editor and Storage Admin and the JSON key file (generated from the gcp)

Don't forget to install this library Faker : pip install pandas faker google-cloud-bigquery

Installation

  1. Clone the repository:
git clone https://github.com/yourusername/retail-project.git
cd retail-project

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A project demonstrating the manual ingestion of retail data from local sources into Google BigQuery for cloud data analysis.

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