{"id":50779930,"url":"https://github.com/basvdberg/data-engineering-design-patterns","last_synced_at":"2026-06-12T02:30:32.676Z","repository":{"id":359360845,"uuid":"1203949155","full_name":"basvdberg/data-engineering-design-patterns","owner":"basvdberg","description":"Commonly used design patterns for data engineering ","archived":false,"fork":false,"pushed_at":"2026-06-01T14:58:37.000Z","size":380,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-06-01T16:28:57.884Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"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/basvdberg.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-04-07T14:42:55.000Z","updated_at":"2026-06-01T15:15:54.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/basvdberg/data-engineering-design-patterns","commit_stats":null,"previous_names":["basvdberg/data-engineering-design-patterns"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/basvdberg/data-engineering-design-patterns","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/basvdberg%2Fdata-engineering-design-patterns","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/basvdberg%2Fdata-engineering-design-patterns/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/basvdberg%2Fdata-engineering-design-patterns/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/basvdberg%2Fdata-engineering-design-patterns/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/basvdberg","download_url":"https://codeload.github.com/basvdberg/data-engineering-design-patterns/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/basvdberg%2Fdata-engineering-design-patterns/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34226629,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-12T02:00:06.859Z","response_time":109,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2026-06-12T02:30:32.031Z","updated_at":"2026-06-12T02:30:32.671Z","avatar_url":"https://github.com/basvdberg.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data Engineering Design Patterns\n\n## Table of contents\n\n\u003c!-- markdown-toc:start --\u003e\n- [Purpose](#purpose)\n- [Disclaimer](#disclaimer)\n\u003c!-- markdown-toc:end --\u003e\n\n## Purpose\n\nDesign patterns describe functionality in a descriptive, technology-agnostic way. They support the way of working in [Data Engineering 2026](https://github.com/basvdberg/data-engineering-2026) and are applied in the [data-solution-2026](https://github.com/basvdberg/data-solution-2026) proof of concept.\n\nPatterns are grouped under **Data engineering** (data objects, extractors, layers, temporal storage) and **Generic** (orchestration, decomposition, simplicity, and separating specification from implementation). Generic patterns apply outside data platforms; data-engineering patterns name concepts used in data solutions.\n\nThe main reasons to document patterns this way are:\n\n- They can be used as blueprints for AI generation of underlying code in any language or tool. Select the patterns you need for your data solution.\n- They provide a vocabulary to discuss frameworks, tools, platforms, and data solutions—and to compare them.\n- They help you design a technology-agnostic data solution that is more robust to technology changes.\n\n## Disclaimer\n\nDefining and documenting design patterns is inherently complex. Patterns evolve as practices, tools, and teams change; no catalog is ever finished on the first pass. Treat the content in this repository as a living reference: expect ongoing refactoring, clarification, and improvement rather than a fixed specification. Contributions, corrections, and sharper wording are welcome.\n\n## Project structure\n\n\u003c!-- markdown-project-structure:start --\u003e\n- [Data Engineering Design Patterns](readme.md)\n  - Definitions\n    - [Business intelligence](definitions/business-intelligence.md)\n    - [Data engineering](definitions/data-engineering.md)\n  - Design patterns\n    - Data engineering\n      - [Data extractor](design-patterns/data-engineering/data-extractor.md)\n      - [Data object container](design-patterns/data-engineering/data-object-container.md)\n      - [Data object poller](design-patterns/data-engineering/data-object-poller.md)\n      - [Data object tree property inheritance](design-patterns/data-engineering/data-object-tree-property-inheritance.md)\n      - [Data object tree](design-patterns/data-engineering/data-object-tree.md)\n      - [Data object](design-patterns/data-engineering/data-object.md)\n      - [Data solution layer](design-patterns/data-engineering/data-solution-layer.md)\n      - [Data solution](design-patterns/data-engineering/data-solution.md)\n      - [Event-based orchestration](design-patterns/data-engineering/event-based-orchestration.md)\n      - [Historic bitemporal table](design-patterns/data-engineering/historic-bitemporal-table.md)\n    - Generic\n      - [Functional decomposition](design-patterns/generic/functional-decomposition.md)\n      - [Prefer simple decomposition](design-patterns/generic/prefer-simple-decomposition.md)\n      - [Separate what and how](design-patterns/generic/separate-what-and-how.md)\n      - [Simplicity](design-patterns/generic/simplicity.md)\n  - Implementation\n    - Event Based Orchestration\n      - [Event-based orchestration architecture](implementation/event-based-orchestration/architecture.md)\n      - [Azure event-based orchestration architecture](implementation/event-based-orchestration/azure-architecture.md)\n      - [Tool choice for a data warehouse orchestration tool](implementation/event-based-orchestration/tool-choice.md)\n- Related repositories\n  - [Data Engineering 2026](https://github.com/basvdberg/data-engineering-2026) — Course and learning materials\n  - [Data Solution 2026](https://github.com/basvdberg/data-solution-2026) — Data solution proof of concept\n\u003c!-- markdown-project-structure:end --\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbasvdberg%2Fdata-engineering-design-patterns","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbasvdberg%2Fdata-engineering-design-patterns","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbasvdberg%2Fdata-engineering-design-patterns/lists"}