https://github.com/irwandifo/gcp-batch-pipeline
GCP Batch Data Pipeline
https://github.com/irwandifo/gcp-batch-pipeline
batch-processing data-pipeline data-platform kestra
Last synced: 7 months ago
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GCP Batch Data Pipeline
- Host: GitHub
- URL: https://github.com/irwandifo/gcp-batch-pipeline
- Owner: irwandifo
- Created: 2025-01-12T10:38:04.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-02-09T16:31:15.000Z (8 months ago)
- Last Synced: 2025-02-09T16:34:08.007Z (8 months ago)
- Topics: batch-processing, data-pipeline, data-platform, kestra
- Language: Python
- Homepage:
- Size: 125 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# GCP Batch Data Pipeline
This project implements data pipeline for small-to-medium-scale data platform on GCP using modern tools. The pipeline is designed for batch processing and leverages Kestra, DuckDB, dbt, Iceberg, BigQuery, and Parquet to create a robust and scalable data processing workflow.
## Components
| **Categories** | **Tools** | **Details** |
|------------------------|-----------------------------------------|-------------------------------------------|
| Data Source | Pagila | Sample PostgreSQL database. |
| Orchestration | Kestra | Coordinates workflows and tasks. |
| Ingestion | Kestra | Manages data ingestion workflows. |
| Storage | Google Cloud Storage (GCS) and BigQuery | Stores data using Medallion Architecture. |
| Processing | DuckDB and dbt+BigQuery | Performs data transformation. |
| Data Quality | Soda and dbt test | Ensures data accuracy and reliability. |
| Alerting | Resend | Sends email notifications for issues. |
| Consumption | BigQuery | Data consumption layer. |
| Analytics | Looker Studio and Evidence | Analytics and visualizations layer. |
## Architecture Diagram
