Data Mesh

What is Data Mesh?

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?

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“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:

  1. Principle of Domain Ownership: Ownership of analytical data is decentralized to business domains closest to the data.
  2. Principle of Data as a Product: Domain-oriented data is shared as a product directly with data users.
  3. 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.
  4. Principle of Federated Computational Governance: Creating a data governance operating model based on federated decision-making and accountability structure.

Source

Benefits of Data Mesh

Already 60% of companies with 1,000 employees or more use or implement a data mesh as there are various benefits: (Source):

  • Quickly adapt to changes as the company scales and grows
  • Enable data from disparate systems to be collected, integrated and analyzed all at once
  • Eliminate the need to extract data from disparate systems in one central location
  • Individual domains gain the ability to self-manage and self-serve data projects
  • Business domains design their own specific use cases white remaining full control over their Data Products
  • Tackle data governance bottlenecks
  • And many more

Source

What You’ll Need for Data Mesh

Implementing the Data Mesh architecture requires a combination of technical and organizational changes. To get started with Data Mesh you should:

  • Treat your data as a product
  • Gain a comprehensive view of your entire data landscape with One Data
  • Shift ownership of data to the departments
  • Enable data experts and business domains to build and use data products
  • Create data product marketplace within One Data
  • Drive cultural change towards a data-driven company

Let us help you drive the change! Arrange a call with one of our experts to discuss your company’s specific use cases.

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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.

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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.

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Video: Introduction to Data Mesh by Zhamak Dheghani

In this video, Zhamak Dehghani deep-dives into what data mesh is and explains what challenges in big data management the concept solves.

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Book: Data Mesh by Zhamak Dehghani

The most essential book on data mesh. Here you will learn what data mesh is, what principles it involves, why you should consider it and how it is designed.

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eBook Data Mesh: How Companies Can Unearth Data Treasures

This eBook offers you an overview on the basics you need for Data Mesh: its principles, what you need for implementation as well as the technical foundations for Data Mesh.

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Whitepaper: Data Products – Catalyst for Change

Learn 7 reasons why data experts need to start thinking about data products for their business

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Whitepaper: How to Treat Data as a Product

Learn how to gain full visibility of your data landscape, manage data at scale and build data products fast.

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Marco Polo - Road to Data Products Workshop

Start getting value from your data and get your first data product off the ground quickly in this one-day workshop with our team of data product experts.

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BARC Study: Data Mesh - Game Changer or Just Hot Air?

Find out how data experts answered questions about the application of Data Mesh in practice and how its introduced to organizations.

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BARC Article: Revolutionising the Data Landscape with Data Mesh

BARC summarises the principles of the Data Mesh and its potential to revolutionise the way we deal with data. (German only)

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One Data Events

Find out all about our current events and those of our partners on the topics of Data Mesh and data products.

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