The term Data Mesh was shaped by Zhamak Dehghani. In her well-known book “Data Mesh – Delivering Data-Driven Value at Scale”, she defines it as a decentralized sociotechnical approach to share, access, and manage analytical data in complex and large-scale environments—within or across organizations.
According to Gartner®, Data Mesh is a cultural and organizational shift for data management focusing on federation technology that emphasizes the authority of localized data management. Data Mesh is intended to enable easily accessible data by the business.
They also define it as “a data management approach (though not an established best practice) that supports a domain-led practice for defining, delivering, maintaining and governing data products. Data products must be easy to find and use by data consumers (developers, business users, APIs) and must fulfill the contract between the provider and the consumer.”
Find a complete and comprehensive definition of Data Mesh by Gartner® in their 2023 Quick Answer: What is Data Mesh?
“Data Mesh is the nudge that puts us on a new trajectory in how we approach data: how we imagine data, how we capture and share it, and how we create value from it, at scale and in the field of analytics and AI.” – Zhamak Dehghani
Principles of Data Mesh
Data Mesh is built on four fundamental principles: Principle of Domain Ownership, Principle of Data as a Product, Principle of the Self-Serve Data Platform, Principle of Federated Computational Governance according to Dehghani:
Principle of Domain Ownership: Ownership of analytical data is decentralized to business domains closest to the data.
Principle of Data as a Product: Domain-oriented data is shared as a product directly with data users.
Principle of Self-Serve Data Platform: A self-service data platform streamlines the experience of data users to discover, access, and use Data Products and of data providers to build, deploy, and maintain data products.
Principle of Federated Computational Governance: Creating a data governance operating model based on federated decision-making and accountability structure.
Your Contact: Sebastian Wernicke | Leading Data Scientist
"*" indicates required fields
Enable Data Mesh with One Data
One Data is an AI-powered Data Product Builder that helps data experts to build and deploy data products. An interactive data map enables them to see the entire data landscape, assess data assets, and identify connections between them, reducing the time to build data products. Leading data-driven organizations choose One Data to develop and deploy cutting-edge Data Mesh or Data Fabric architectures. Business users can access data products via a marketplace using their preferred analytics or data science tools. One Data empowers data teams to achieve their full potential and fostering data cultures within organizations. Experience the AI-powered Data Product Builder in action and see the full potential for yourself – simply book a free demo.
Your Contact: Neda Talyai | Marketing Director - Product & Content
"*" indicates required fields
SCHOTT AG Realizes the Data Mesh Concept with One Data
Benefit from our many years of experience and our expert team of highly qualified data scientists. We have already proven our skills at renowned companies such as SCHOTT AG. Learn how the international technology company SCHOTT AG brought the Data Mesh concept to life with One Data in our success story.
An overview of the complete solution:
The PDF contains all figures, details and background information about our solution.