{"id":24960939,"url":"https://github.com/irwandifo/gcp-batch-pipeline","last_synced_at":"2025-03-28T21:44:49.196Z","repository":{"id":272142245,"uuid":"915611398","full_name":"irwandifo/gcp-batch-pipeline","owner":"irwandifo","description":"GCP Batch Data Pipeline","archived":false,"fork":false,"pushed_at":"2025-02-09T16:31:15.000Z","size":128,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-09T16:34:08.007Z","etag":null,"topics":["batch-processing","data-pipeline","data-platform","kestra"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/irwandifo.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-01-12T10:38:04.000Z","updated_at":"2025-02-09T16:31:19.000Z","dependencies_parsed_at":"2025-02-02T16:19:55.157Z","dependency_job_id":null,"html_url":"https://github.com/irwandifo/gcp-batch-pipeline","commit_stats":null,"previous_names":["irwandifo/gcp-batch-data-pipeline","irwandifo/gcp-batch-pipeline"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/irwandifo%2Fgcp-batch-pipeline","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/irwandifo%2Fgcp-batch-pipeline/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/irwandifo%2Fgcp-batch-pipeline/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/irwandifo%2Fgcp-batch-pipeline/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/irwandifo","download_url":"https://codeload.github.com/irwandifo/gcp-batch-pipeline/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246106661,"owners_count":20724400,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["batch-processing","data-pipeline","data-platform","kestra"],"created_at":"2025-02-03T08:32:42.029Z","updated_at":"2025-03-28T21:44:49.187Z","avatar_url":"https://github.com/irwandifo.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# GCP Batch Data Pipeline\n\nThis 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.\n\n## Components\n\n| **Categories**          | **Tools**                              | **Details**                               |\n|------------------------|-----------------------------------------|-------------------------------------------|\n| Data Source            | Pagila                                  | Sample PostgreSQL database.               |\n| Orchestration          | Kestra                                  | Coordinates workflows and tasks.          |\n| Ingestion              | Kestra                                  | Manages data ingestion workflows.         |\n| Storage                | Google Cloud Storage (GCS) and BigQuery | Stores data using Medallion Architecture. |\n| Processing             | DuckDB and dbt+BigQuery                 | Performs data transformation.             |\n| Data Quality           | Soda and dbt test                       | Ensures data accuracy and reliability.    |\n| Alerting               | Resend                                  | Sends email notifications for issues.     |\n| Consumption            | BigQuery                                | Data consumption layer.                   |\n| Analytics              | Looker Studio and Evidence              | Analytics and visualizations layer.       |\n\n## Architecture Diagram\n\n![](https://github.com/irwandifo/gcp-batch-infra/blob/main/img/gcp-batch-diagram.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Firwandifo%2Fgcp-batch-pipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Firwandifo%2Fgcp-batch-pipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Firwandifo%2Fgcp-batch-pipeline/lists"}