Articles, guides, and annotated talks on data contracts, data products, and data governance from the team at Entropy Data.
Data ownership is probably the most unsolved problem in data management. Learn the 4 principles: you build it, you own it; publish data products; enforce data contracts; be your first customer.
How to use datacontract dbt sync to make data contracts the source of truth in an existing dbt project: bootstrap a contract, sync it into your models, generate tests, and gate drift in CI.
Since July 2026, BaFin supervises AI systems in the German financial sector. Most of what banks and insurers must prove concerns data: origin, quality, meaning, and permitted use. How data contracts, semantics, and governed access get you there.
Learn how to use Git with Entropy Data: Git as the leader, Entropy Data as the leader (trunk-based), and Entropy Data as editor with PR workflows.
Annotated TDWI München 2026 talk by Dr. Simon Harrer (Entropy Data) on the open standards for data products (ODCS, ODPS, and OSI), the open-source tooling around them, and a live demo of a coding agent building a data product from a contract.
Annotated DATA Festival 2026 talk by Dr. Simon Harrer (Entropy Data) on why AI agents need a data marketplace, to read data through governed tools and to build new data products, with two live demos.
Annotated talk by Jochen Christ (Entropy Data) on two paths to building a data product: the traditional data-first route and a contract-first route, with data contracts, ODCS, the Data Contract CLI, and a coding agent that builds the product from the contract.
A BARC report by analyst Florian Bigelmaier on why AI agents need a data marketplace built on data products, data contracts, and governed access.
A first-class Microsoft Power BI integration for Entropy Data. Sync Fabric workspaces, govern every item, align your semantic layer, and publish data products straight to Power BI.
Contract-driven development for data products: write or extend an ODCS data contract, then ask Claude Code, OpenAI Codex, or GitHub Copilot CLI to implement it. Works for new data products and for changes to existing ones.
Annotated JAX 2026 talk by Dr. Gernot Starke (INNOQ) and Dr. Simon Harrer (Entropy Data) on data architecture, why software engineering forgot data, and how data contracts fix it.
Annotated talk by Dr. Simon Harrer at Data Mesh Belgium Meetup #7 in Leuven on open standards for data mesh: ODCS, ODPS, and OSI.
Model your business domain as concepts and relationships and link them to data products and data contracts so that teams and AI agents share the same definitions.
Annotated talk by Dr. Simon Harrer on data contracts at the INFOMOTION Data & AI Meetup Cologne — covering the Open Data Contract Standard (ODCS), tooling, best practices, and why agentic AI will make data contracts ubiquitous.
Annotated talk by Jochen Christ on data contracts at the TDWI Roundtable Münster —covering the Open Data Contract Standard, contract-first design, data quality testing, and governance for AI agents.
Annotated keynote by Dr. Simon Harrer on how AI agents transformed his work as a software engineer and CEO, from agentic coding to enterprise data governance.
Annotated talk by Dr. Simon Harrer at Purdue University on how AI can chat with enterprise data while enforcing data governance policies — using data products, data contracts, semantics, and access agreements as metadata.
Enable AI clients like Claude, ChatGPT, and Microsoft Copilot to securely access your business data products with full data governance through Entropy Data's MCP server.
Traditional data catalogs have long been the primary solution for managing data assets. Modern data architectures build on data products with clear ownership, well-defined data contracts, and a focus on the needs of data consumers, brought together into an enterprise data marketplace.
How to implement data products using dbt: project structure, output ports, data contracts, testing, and integration with a data product marketplace.
A data product is a logical unit that contains all components to process and store domain data for analytical or data-intensive use cases and makes them available to other teams via output ports
A data contract defines ownership, structure, semantics, quality, and terms of use for data exchange. Learn about the Open Data Contract Standard (ODCS) with examples.
Learn the Open Data Contract Standard (ODCS), an open YAML spec for data contracts governed by Bitol. Covers its structure, schema, data quality and examples.