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

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

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

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.