https://github.com/mahdiik1/bigquery-retail-analysis
Uses Google BigQuery to query a sample retail dataset. Features example SQL queries and a Python script for large-scale data analysis. Great for learning GCP integration, basic analytics, and high-volume querying.
https://github.com/mahdiik1/bigquery-retail-analysis
analytics bigquery gcp python
Last synced: about 2 months ago
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Uses Google BigQuery to query a sample retail dataset. Features example SQL queries and a Python script for large-scale data analysis. Great for learning GCP integration, basic analytics, and high-volume querying.
- Host: GitHub
- URL: https://github.com/mahdiik1/bigquery-retail-analysis
- Owner: mahdiik1
- Created: 2025-03-23T18:14:28.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-23T18:15:16.000Z (about 1 year ago)
- Last Synced: 2025-03-23T18:47:41.789Z (about 1 year ago)
- Topics: analytics, bigquery, gcp, python
- Language: Python
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# BigQuery Retail Analysis
Demonstrates querying a large retail dataset using Google BigQuery.
Includes a Python script that connects to BigQuery, runs queries, and processes the results.
## Requirements
- Python 3.8+
- google-cloud-bigquery
## Setup
1. Enable the BigQuery API in your GCP project.
2. Set up authentication (GOOGLE_APPLICATION_CREDENTIALS).
3. Run `python main.py` to execute queries.
## Files
- `main.py`: Contains code to connect to BigQuery and run example queries.
- `queries.sql`: Example queries for analyzing retail data.
This project is just a starting point—modify it to fit your dataset and analytics needs.