GitHub - Clarryson/Bigquery-project: A serverless, event-driven document processing pipeline built on Google Cloud Platform. Users can upload documents via a web dashboard. These documents are saved to Cloud Storage, triggering a background processor that extracts metadata (like word count and tags) and saves the results to BigQuery. The dashboard then displays the processed data

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
dashboard		dashboard
processor		processor
.dockerignore		.dockerignore
README.md		README.md
deploy.sh		deploy.sh
test_bq.py		test_bq.py
test_doc.txt		test_doc.txt
test_doc_v2.txt		test_doc_v2.txt

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A serverless, event-driven document processing pipeline built on Google Cloud Platform. Users can upload documents via a web dashboard. These documents are saved to Cloud Storage, triggering a background processor that extracts metadata (like word count and tags) and saves the results to BigQuery. The dashboard then displays the processed data