The 5 Lessons of the Open Data Product Specification [English spoken]

Despite the overwhelming hype surrounding AI, Data Mesh principles are still booming—specifically, ‘Data as a Product’ is more popular than ever. Yet, many organizations struggle with the practical side: how do you make the vision concrete? The Linux Foundation’s Open Data Product Specification (ODPS) provides the much-needed blueprint. Through a step-by-step walkthrough of the standard, you will learn the technological foundations and discover 5 essential lessons for organizational success with data products. Stop relying on good intentions and start building real data products.

• The Anatomy of a Data Product: A deep dive into the ODPS metadata structure and how it establishes the foundation for discoverability and context within the organization.
• Frictionless Consumption: How the standard’s port architecture harmonizes various interfaces (such as SQL, API, or Stream) for optimal ease of use.
• Guarantees as a Foundation: Defining explicit Promises (SLOs and SLAs) within the specification to build structural trust between producers and consumers.
• The Product Lifecycle: Utilizing built-in versioning and status mechanisms to transition from a static dataset to a managed, living product.
• Automated Governance: Integrating Access Control and policy rules directly into the specification, turning compliance from a manual roadblock into an accelerator.