Data Product Framework

A structured framework designed specifically for developing a data product, focused on building scalable, reliable, and user-facing (or internal) data tools and systems.

These templates helps manage specs, pipelines, models, experiments, architecture, and learning resources efficiently.

📁 Folder Overview

• 01_Data_Products/ – Product specs, API contracts, system diagrams, and changelogs.
• 02_Architecture/ – System design and data flow notes.
• 03_Code_Patterns/ – Reusable Python, SQL, and utility patterns.
• 04_Data_Modeling/ – dbt models, schema docs, naming standards.
• 05_Pipelines/ – Airflow DAGs, orchestration, and freshness strategies.
• 06_DevOps/ – Docker, deployment, secrets, and CI/CD configs.
• 07_Testing_Quality/ – Data contracts, test plans, and reliability notes.
• 08_Observability/ – Logs, metrics, dashboards, cost tracking.
• 09_Docs_Internal/ – Onboarding, how-tos, and internal guides.
• 10_Strategy_Roadmap/ – Quarterly goals, priorities, and stakeholder alignment.
• 11_Learning/ – Books, papers, key concepts, and tutorials.

├── 01_Data_Products/
│   ├── <product-name>/
│   │   ├── spec.md
│   │   ├── api-contracts.md
│   │   ├── architecture.md
│   │   └── changelog.md
│
├── 02_Architecture/
│   ├── system-overview.md
│   ├── ingestion-pipeline.md
│   ├── transformation-layer.md
│   └── output-serving.md
│
├── 03_Code_Patterns/
│   ├── python/
│   │   ├── decorators.md
│   │   ├── data-validation.md
│   ├── sql/
│   │   ├── joins-window-functions.md
│   │   └── modeling-patterns.md
│   └── utils/
│       └── logging-patterns.md
│
├── 04_Data_Modeling/
│   ├── dbt/
│   │   ├── model-layer.md
│   │   └── tests.md
│   ├── schemas/
│   │   └── events_table.md
│   └── naming-conventions.md
│
├── 05_Pipelines/
│   ├── airflow/
│   │   ├── dag-structure.md
│   │   ├── failures-retries.md
│   ├── orchestration-patterns.md
│   └── freshness-strategy.md
│
├── 06_DevOps/
│   ├── docker-setup.md
│   ├── deployment-process.md
│   ├── secrets-management.md
│   └── ci-cd.md
│
├── 07_Testing_Quality/
│   ├── data-contracts.md
│   ├── unit-integration-tests.md
│   ├── regression-testing.md
│   └── test-strategy.md
│
├── 08_Observability/
│   ├── logging.md
│   ├── monitoring-metrics.md
│   ├── latency-dashboard.md
│   └── cost-monitoring.md
│
├── 09_Docs_Internal/
│   ├── onboarding.md
│   ├── local-dev-setup.md
│   ├── style-guides.md
│   └── how-tos/
│       ├── backfill-data.md
│       └── debug-airflow-dag.md
│
├── 10_Strategy_Roadmap/
│   ├── quarterly-roadmap.md
│   ├── priorities.md
│   └── stakeholder-alignment.md
│
└── 11_Learning/
    ├── books/
    │   └── designing-data-intensive-apps.md
    ├── papers/
    │   └── event-driven-architectures.md
    ├── concepts/
    │   └── change-data-capture.md
    │   └── data-catalog.md
    │   └── data-lineage.md
    │   └── data-versioning.md
    │   └── event-driven-architecture.md
    │   └── feature-stores.md
    │   └── reverse-etl.md
    │   └── ...
    └── tutorials/
        └── async-python-patterns.md
        └── data-strategy-for-startups.md
        └── dbt-macros-guide.md
        └── etl-to-ml.md
        └── incremental-models-with-watermarks.md
        └── partitioned-backfills.md
        └── ...

🔢 Getting Started

1. Clone or unzip this repo into your system
2. Read 09_Docs_Internal/onboarding.md for environment setup.
3. Customize the <product-name> folder with actual project names.
4. Start with 01_Data_Products/<product-name>/spec.md for understanding product purpose, users, and scope.
5. Plan and align on upcoming work with 10_Strategy_Roadmap/quarterly-roadmap.md.

📜 How to Use

• Navigate folders based on what you need — architecture, code, testing, etc.
• Add notes as you learn or build, keeping this a living document
• Reuse tested code patterns and architecture templates
• Regularly review and update roadmap and stakeholder docs

Happy building!