The Data Catalog for Data Mesh

A new paradigm for data empowerment

Data mesh is an approach that empowers domain experts to own the data they create and make it available to consumers across business lines. It is defined by four pillars: data ownership by domain, data as a product, self-service data, and federated computational governance. data.world’s enterprise data catalog can help your organization put these principles into practice.

Why it’s time to mesh with your data architecture

Zhamak Dehghani joins Juan and Tim for a discussion on the emergence of the data mesh as a concept.

How data mesh will change the way you work

Learn more about data mesh from its founder, Zhamak Dehghani.
 
“Data mesh is a socio-technical shift – a new approach in how we collect, manage, and share analytical data.”
Zhamak Deghani

Data Mesh Founder

Decentralized domain ownership

What it means

The first pillar of data mesh is decentralization of data ownership. Under this model, business domains (Sales, Marketing, Finance, etc.) are responsible for the ownership of the data they create. The benefit is that the domain’s familiarity with the data will provide deeper insight into where, why, and how it should be used.

How data.world helps

Unlike relational data catalogs that view data only in the context of columns and rows, data.world is built on a knowledge graph. Knowledge graphs make it easier to find, understand, and trust data because it logically organizes metadata and data, mapping relationships to key enterprise concepts, like domains. This makes it simple to apply stewards, owners, or data project managers to the resources within those domains.

Data as a product

What it means

Most existing data architectures fail to address siloed data. Introducing decentralization seems like it adds friction to the data democratization process, but data mesh solves this by treating data as a product. This means data is discoverable and can be used in the same way you search for and purchase products using your favorite e-commerce platform.

How data.world helps

Think of data.world as an enterprise data marketplace that is internal to your company. This is where people go “shopping” for data, analysis, and use case recipes. Our platform is open and extensible, making it easy to collect information from all of your applications and programs. Take advantage of 100+ pre-built integrations or create your own.

Self-service platform

What it means

Data as a product is a prerequisite to self-service data and analytics. For data to be truly self-service, it must be published so it is accessible to the greater organization including those who need it to make informed business decisions. Self-service, however, does not equate to a data free-for-all. Governance and guardrails must still be in place to ensure responsible data use.

How data.world helps

data.world is designed with a consumer-grade UI and built-in access controls that simplify data discovery by making it quick and easy to surface relevant insights from domain owners to appropriate individuals. Search across data, discussions, analysis, and more to find what you need fast.

Federated computational governance

What it means

The pillar that enables all else in a data mesh is also the least understood. Put simply, federated computational governance provides governance policies that each decentralized domain can easily reuse.

How data.world helps

Agile Data Governance is the foundation of Federated Computational Governance. Agile Data Governance drives data enablement and literacy and focuses on delivering iterative improvements that can be scaled across domains.

Is your data mesh a fabric?

The terms data mesh and data fabric are often used interchangeably, but the two are not one in the same. Data mesh focuses on connecting data processes with end users. Data fabric is an architectural approach that optimizes access to data and metadata.

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5 Questions with Zhamak Deghani

Zhamak Dehghani is the Director of Emerging Technologies at Thoughtworks and the leading expert on data mesh. We’ll chat about the emergence of the data mesh as a concept, why the approach works for eliminating architectural silos, and how it’s producing more ...

Top Strategic Technology Trends for 2022: Data Fabric | Gartner® Report

How are you weaving a data fabric into your data strategy? If you aren’t yet, it’s time to start thinking about it. Especially, if you’re interested in democratizing data at your organization.

Top Strategic Technology Trends for 2022: Data Fabric | Gartner® Report

How are you weaving a data fabric into your data strategy? If you aren’t yet, it’s time to start thinking about it. Especially, if you’re interested in democratizing data at your organization.

The Great Data Mesh Debate! With hosts Juan and Tim

About this episode“What is a data mesh?” It’s one of the most frequently asked questions on this podcast, and is almost a microcosm for data and analytics as a whole. It may be the next big thing. It may be yet another passing fad in architectural design. We compared ...

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