
What is a data product? - Cloud Adoption Framework
Dec 10, 2024 · Learn about the data mesh approach, which adopts the concept of data as a product. Learn how to create effective data products and use them in your design.
What is a data product? - IBM
What is a data product? A data product is a reusable, self-contained package that combines data, metadata, semantics and templates to support diverse business use cases. It can include …
What is Data Product: Definition & Examples - GeeksforGeeks
Aug 6, 2025 · Data products transform raw information into actionable insights for businesses in today's data-driven world. Any tool, system or application that uses data to deliver value, automate …
Data product - Wikipedia
In data management and product management, a data product is a reusable, active, and standardized data asset designed to deliver measurable value to its users, whether internal or external, by …
What are data products? | SAP
Jun 30, 2025 · Data products serve as a standardized and efficient way to share and consume data across applications and domains. They enable analytic scenarios and AI applications and facilitate …
What Is a Data Product? Concepts and Best Practices
Nov 26, 2024 · Discover what a data product is, its components, and best practices. Learn how data products turn raw data into actionable insights for business success.
What Are Data Products? Types and Examples | Coalesce
Learn what data products are, how to build them, and why they’re key to data mesh, AI, and DaaS. Explore examples and best practices.
What is a Data Product? Examples & How to Build It - lakeFS
Aug 5, 2025 · Discover what data products are, see real examples, and learn how to build and manage them to drive better insights and business outcomes.
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What is a Data Product? Definition, Examples and Best Practices
Jul 23, 2025 · A data product is a logical unit that encapsulates all knowledge, data, and code for an analytical use case within a data mesh architecture.
What is a data product? - Harbr Data
Learn what makes a successful data product, from core data assets to value proposition and the three Ps: placement, packaging, and permissioning. A comprehensive guide for data leaders.