data-product

Enforce Data Contracts

⚛️ React.js components 💯% compatible with 🪐 Jupyter.

Full Stack Data Science in Python

Home of the Open Data Product Standard (ODPS).

The Data Product Descriptor Specification (DPDS) Repository

Template to deploy a Data Product for analytics and data science use-cases into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to create insights and products for external users.

Template to deploy a Data Product for Batch data processing into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to ingest, provide and create new data assets within the platform.

Artifacts of the EKGF Data Product Workgroup (DPROD)

Template to deploy a Data Product for data stream processing into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to ingest, provide and create new data assets within the platform.

A platform to manage the data product life cycle

The Data Store API Specification Repository

Playground site for creating/validating data contracts

Teaching materials for Building data-driven products

Gather Information Product requirements with the Information Product Canvas, an AgileDataGuides Pattern Template app

The Schema Annotations Specification (SAS) Repository

A Machine Learning Product for Business Planning Involving Predicting Inflation, Recession and Business Cycles

Data Catalog documentation, from terms and explanation to strategic roadmap for implementation. Published to Github pages from my Obsidian via Quartz plugin.

Serverless Data Mesh: proof-gated lakehouse writes on AWS Lambda (PVDM / Vaquar Pattern). PyPI + Docker. Apache-2.0 reference implementation.

Local-first spreadsheet operations workbench with isolated site setup, adaptive profiles, versioned runs, dashboards, and release safety gates.

Legal AI product-boundary evaluation and data governance system for model routing, RAG reliability, human review, release gates, and data asset routing.