Data Mesh Resource Center

A Paradigm Shift in Data & Analytics

Enjoy exclusive access to Data Mesh content, including on-demand talks, panel discussions featuring Zhamak Dehghani, Founder of Data Mesh, and more!

Starburst Data Mesh Solution Brief

What is Data Mesh?

Data Mesh – an approach founded by Zhamak Dehghani – refers to a decentralized, distributed approach to enterprise data management. It is a holistic concept that sees different datasets as distributed products, orientated around domains. The idea is that each domain-specific dataset has its own embedded engineers and product owners to manage that data and its availability to other teams, driving a level of data ownership and responsibility, which is often lacking in the current data platforms that are largely centralized, monolithic, and often built around complex pipelines.

Data Mesh Chapter Summaries

O’Reilly Book

Data Mesh Book Cover
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Data Mesh is founded around four core principles:

Domain-driven data ownership and architecture

Data as a product

Self-serve infrastructure as a platform

Federated computational governance

“Data Mesh is not just an architecture, it's not just a technology, it's not just an organizational change, it's all of the above. It's a paradigm shift in how we manage big data between planes.”

-- Zhamak Dehghani, Founder of Data Mesh

Starburst is the Analytics Engine for Data Mesh

Data Mesh is a new approach to data architecture and Starburst is the Analytics Engine for Data Mesh. Find out what that means in this video by Justin Borgman, Co-founder, Chairman & CEO, Starburst.

What is Data Mesh?

This video features Justin Borgman, Co-founder, Chairman & CEO, Starburst, as he gives a high-level introduction to the fundamentals of Data Mesh.

Starburst Vision: How We'll Get There

We free our customers to see the invisible and achieve the impossible. Like Shakespeare, Starburst is a five-act play: Act I is Data Lakehouse, Act II is Data Mesh, and then there’s more.

Introduction to Data Mesh

In this video, Zhamak Dehghani gives a high-level overview of the concept, which proposes architectural and organizational changes that transform the way large enterprises analyze data.

How to Build a Foundation for Data Mesh: A Principled Approach

Here Zhamak Dehghani gives an in-depth explanation of how to apply Data Mesh to your current architecture, following the four core principles of Data Mesh.

What Data Mesh Means for Data Analysts

In this panel discussion moderated by ThoughtSpot’s Sean Zinsmeister, panelists and industry experts Zhamak Dehghani, Daniel Abadi, and BoA’s Gareth Stevenson share their perspectives.

What Data Mesh Means for Data Scientists

In this conversation moderated by Red Hat’s Sophie Watkins, panelists and industry experts Zhamak Dehghani, Daniel Abadi, Zalando’s Max Schultze, discuss their perspectives.

From the Starburst Blog:

Data Mesh: The Answer to the Data Warehouse Hypocrisy

Computer Science Professor Daniel Abadi shares his perspective on the Data Mesh and it’s effectiveness and application in relation to the Data Warehouse architecture.

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Query Federation Made Simple at Comcast

Starburst’s VP of Engineering, Ken Pickering, discusses Comcast’s Starburst-backed hybrid query fabric platform that leverages the Data Mesh approach and gives users access to thousands of data sets.

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Azure Data Mesh: Powered by Starburst

This blog by Tom Nats gives a technical overview of how Starburst can support the Azure Data Mesh by querying data wherever it lives.

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Data Mesh: A Software Engineer’s Perspective

In this blog, Lakshmikant Shrinivas, Software Engineer at Starburst explains the parallels between Data Mesh and microservices in software engineering.

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Does the Data Mesh Make Data Integration Harder?

Read how Data Mesh can improve the quality of integration across an enterprise in this blog by Daniel Abadi, Darnell-Kanal Professor of Computer Science at University of Maryland.

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How Data Mesh Scales Data Virtualization

Read about how Data Mesh compliments data virtualization by allowing for frictionless access to data in this blog by Jeremy Akers, Deployment Engineer at Starburst.

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More Resources

Data Mesh and What it Means for Business and Data Folks

In this Big Data LDN byline, Jessica Iandiorio, Chief Marketing Officer at Starburst defines Data Mesh and outlines what it means for different user personas.

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Data mesh: the next big data architectural shift

Data Mesh is the future of data management. Hear from Justin Borgman, Starburst Co-founder, Chairman & CEO, as he explains how Data Mesh is the next big architectural shift in this piece for Information Age.

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SQL is Your Data Mesh API

This blog describes why an externalized query service, like Starburst, and a data access control tool, like Immuta provide the perfect framework to enable data mesh.

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Data Mesh in Practice: How Europe’s Leading Online Platform for Fashion Goes Beyond the Data Lake

Check out Data Mesh in practice in this talk which follows our customer Zalando’s journey from a centralized Data Lake to a distributed Data Mesh.

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Why Governance is the Critical Stitch in Data Mesh (and How to Avoid “Meshing” it Up)

Privacera’s Rajiv Dholakia and Starburst’s Matt Fuller explain how Starburst Stargate enables cross-cloud analytics with partners like Privacera to ensure compliance.

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Starburst Backs Data Mesh Architecture

In this Datanami article, Starburst’s Co-Founder, Chairman & CEO Justin Borgman shares his perspective on Data Mesh and explains how Starburst fits in.

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