Data Mesh Resource Center

Data Mesh is a decentralized, distributed approach to optimize enterprise data management and help organizations get the most out of their data-driven investments

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 BriefData Mesh For Dummies

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.

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Data Mesh is founded around four core principles:

Domain-driven data ownership and architecture

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Data as a product

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Self-serve infrastructure as a platform

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Federated computational governance

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“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

“Data Mesh allows us to cater to both our data producers and our data consumers. It provides for domain-driven ownership for the producers while also providing a unified level of access for our consumers.”

— Sachin Menon, Senior Director of Data, Priceline

“Data Mesh is certainly the future for our business…particularly ones which have a legacy of acquisitions, and the need for merging of different data sets to form a new larger entity.”

— Richard Jarvis, CTO, EMIS Group

“Data mesh is the new path to data management. With data volumes set to increase at an annual growth rate of 19.2%, it is critical that organizations of every size reconsider their strategy.”

— Justin Borgman, CEO, Starburst

“Achieving a successful Data Mesh architecture requires the ability to access data in disparate systems and sources.”

— Matt Fuller, VP of Product, Starburst

“By leaving data in its original source, you maintain a lot of flexibility in querying and analytics.”

— Dan Cook, Senior Product Director of Data Platforms and Analytics, doxo

What is Data Mesh?

In this video, Adrian Estala, VP, Data Mesh Consulting Services, gives a high-level introduction to the fundamentals of Data Mesh.

How to Integrate Data Mesh Into Your Ecosystem

In this video, Adrian Estala, VP, Data Mesh Consulting Services, gives an overview of how to seamlessly integrate Data Mesh into your existing ecosystem.

What Are the Three Benefits of Data Mesh?

In this video, Adrian Estala, VP, Data Mesh Consulting Services, shares three benefits of implementing a Data Mesh as a digital transformation strategy.

Part 1: 90-Day Data Mesh Pathfinder - Delivering Value with your Data Mesh Strategy

In this webinar, Adrian Estala shares how to create your Data Mesh vision by engaging business stakeholders early in the process.

Leveraging International Data Management Standards in Your Data Mesh

In this video, Starburst’s Adrian Estala and DAMA Netherlands President Ronald Baan cover data governance elements that many data leaders struggle with.

Big Data LDN

Starburst’s Lead Solutions Architect Andy Mott explains why Data Mesh isn’t something you can buy off the shelf and what it can do for your organization.

A Primer on Data Mesh

Are you Data Mesh ready? In this session, Andy Mott, Solutions Architect at Starburst explains everything Data Mesh.

Is Data Mesh the Answer to Data Democratization

Accenture’s Cloud First Chief Technologist, Teresa Tung shares how the Data Mesh paradigm can enable data access by unlocking the value of distributed data.

Customer Spotlight: Priceline Achieves Travel Innovation with Starburst

Hear Valli Musti, Engineering Leader at Priceline, share their story of innovation and their data and analytics journey with Starburst with Data Mesh as their core architecture.

Partner Spotlight: Transform your Data into Actionable Business Insights

Ken Seier, North American Strategic Lead, Chief Architect, Data & AI at Insight, highlights how Data Mesh facilitates data sharing and fortifies decision making.

The Potential Impact of Data Mesh Across Industries

In this session, journalist Paul Gillin moderates an engaging discussion between Zhamak Dehghani of Thoughtworks, Richard Jarvis of EMIS Health and Mangesh Patil of Disney.

The Data Mesh Channel: Quantifying Risk on a Mesh

In this video, Starburst’s VP of Data Mesh Consulting Services, Adrian Estala and Verizon’s Gavin Anthony Grounds discuss how organizations can quantify risk on a 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.

CEO Keynote: Achieving a Data Mesh with Starburst

In this talk, Starburst CEO Justin Borgman demystifies Data Mesh and shares concrete ways to begin your journey.

Data Mesh & Data Fabric: A Technical Comparison

In this panel discussion moderated by former Gartner Analyst Sanjeev Mohan, panelists and industry experts Zhamak Dehghani and Daniel Abadi share their perspectives.

Data Product Master Class with Accenture

In this Master Class, Teresa Tung, Accenture's Cloud First Chief Technologist teaches you how to identify and build a data product within your organization.

Are you Data Mesh Ready? Take the Data Mesh Readiness Assessment

In this session, Starburst’s Adrian Estala walks viewers through a Data Mesh readiness assessment to kickstart their Data Mesh journeys.

From Theory to Practice: O'Reilly Market Research

In this talk, Zalando's Max Schultze and Thoughtworks' Arif Wider share their findings and insights from O'Reilly's latest market research report, Data Mesh in Practice.

Data Mesh Governance Strategy with Starburst and Immuta

In this webinar, you’ll learn how Starburst and Immuta can work together to achieve decentralized data access management.

A CDO Discussion on the Data Mesh Journey

In this video, Starburst’s Adrian Estala and Chief Data Officer Marco Hoppenbrouwer discuss three areas that are key for your Data Mesh journey.

Access is a Key Data Mesh Driver

In this video, Starburst’s Adrian Estala and Immuta's Zachary Friedman discuss federated computational governance, data products, and more.

Building a Digital Operations Model with a Data Mesh

In this video, Starburst’s Adrian Estala and Digital Operations Thought Leader Rob Akershoek discuss Data Mesh with a digital operating lens.


Watch Datanova 2022: The Data Mesh Summit (All Sessions Available On-Demand Now!)

From the Starburst Blog:

Early Adoption of the Self-Service Data Infrastructure

Phillip Radley shares his learnings and takeaways from working on an early self-service data infrastructure at British Telecom before the Data Mesh movement.

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An Introduction to the Data Mesh Execution Model

See how the Data Mesh execution model can be used as a framework for teams to gain end-to-end business value.

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Data Mesh vs. Data Fabric: The Human Factor

Sanjeev Mohan, a former Gartner Analyst, shares highlights from the panel discussion he led with Daniel Abadi and Zhamak Dehghani on Data Mesh and Data Fabric.

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Learn From Complimentary Gartner® Report: Are Data Fabric and Data Mesh the Same or Different?

Starburst CMO Jess Iandiorio gives an overview of the latest Gartner report addressing the similarities and differences between Data Mesh and Data Fabric.

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In Data We Trust: Data Observability for the Data Mesh

Barr Moses shares how to implement data observability to create trust in your data in the context of a Data Mesh.

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Eight Considerations To Determine Whether Data Mesh Is Right For Your Organization

Chitra Rakesh and Cindy Ng of Starburst share eight things to consider when exploring a Data Mesh approach.

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Starburst and Data Products: The Key to a Data Mesh

Colleen Tartow gives an overview of the new Starburst feature: Starburst Data Products.

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Combining Data Mesh and Data Fabric Capabilities

Starburst’s Adrian Estala and Modak’s Mayank Mehra, share how to leverage both a Data Mesh and Data Fabric to drive consumer value.

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Unlocking the Value of a Data Mesh Through Metadata

Prukalpa Sankar shares how to use metadata to power a Data Mesh architecture.

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Simplifying Policy Enforcement for Your Data Mesh with Starburst Enterprise and Immuta

Sumit Sarkar of Immuta and Alex Breshears of Starburst give an overview of how Starburst and Immuta work together to make Data Mesh policy enforcement and governance easy.

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Datanova 2022: Are You Data Mesh Ready?

Starburst’s Adrian Estala teases his Datanova 2022 session which includes a real-time assessment of Data Mesh readiness.

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The Potential Impact of Data Mesh Across Industries

Key takeaways from our Datanova for Data Leaders panel “The Potential Impact of Data Mesh Across Industries” in which panelists discuss their Data Mesh journeys and impact.

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Don’t Hit Reset On Your Digital Transformation

Adrian Estala, VP, Data Mesh Consulting Services, shares three new considerations for digital transformation that will help you stay on track.

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Data Fabric vs. Data Mesh: What’s the Difference?

Computer science professor Daniel Abadi explains the difference between a Data Fabric and Data Mesh.

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Rethinking the Modern Data Stack

Learn what Starburst’s Director of Engineering Colleen Tartow has to say about how Data Mesh marries the ideas of a truly modern data stack.

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Data Mesh: 6 Myths and Misconceptions

Learn the difference between what Data Mesh is and isn’t. For starters, it’s not a Data Fabric. It also does not mean everything must be decentralized.

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Datanova for Data Leaders at a Glance!

Starburst’s Director of Content highlights the best of the latest two-hour leadership summit on “All Things Data Mesh.”

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Data Mesh and Starburst: Data as a Product

Colleen Tartow and Andy Mott explore what a data product is and delve into the details of what makes this a fundamental shift supporting a decentralized data ecosystem.

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Data Mesh and Starburst: Domain-oriented Ownership & Architecture

Data Mesh is based on four central concepts, the first of which is domain-oriented ownership and architecture. We’ll explore what that means and delve into the details of what makes this a fundamental shift supporting a decentralized data ecosystem.

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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

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

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?

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

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How Data Mesh Scales Data Virtualization

Data Mesh compliments data virtualization by allowing for frictionless access to data by Jeremy Akers, Deployment Engineer at Starburst.

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More Resources

Data Mesh: A Revolutionary New Approach to Enterprise Data Management

This white paper provides insights into what a Data Mesh architecture looks like within a large organization and how to implement it.

Data Mesh: in Practice How to Set Up a Data-Driven Organization

This report provides real-world examples to help you move from a general understanding of Data Mesh to assessing whether it is the right strategy for your organization.

Quick Answer: Are Data Fabric and Data Mesh the Same or Different?

This report delves into all that you’d want to know about the difference between a Data Fabric and Data Mesh.

SQL is Your Data Mesh API

The perfect framework to enable Data Mesh is with Starburst’s SQL query engine and Immuta’s data access control tool.

Governance is the Critical Stitch in Data Mesh

See how Starburst Stargate enables cross-cloud analytics with partners like Privacera to ensure compliance.

Data Mesh For Dummies

Data Mesh for Dummies

Read this eBook to learn what the journey towards becoming data-driven entails. Build valuable data products and shorten the path between data and business value.

Webinar: Creating valuable data products, the heart of the Data Mesh

Every company is a data company! Watch this webinar to learn how to create reliable, real-time data insights by democratizing disparate data.

Webinar: Streamlining AML with Real-Time Analytics

Learn how Data Mesh can accelerate solutions for financial institutions at risk for money laundering.

Webinar: Data Mesh Governance Strategy Webinar with Starburst and Immuta

Understanding the security aspects of governance is vital to a secure Data Mesh architecture. Learn who is responsible for implementing policy-based access controls.

Webinar Series: 3-part 90-Day Data Mesh Pathfinder webinar series

Jump start your Data Mesh journey with a Pathfinder. With the right plan, you’ll realize immediate gains while strategizing for a longer term success.

Starburst Data Products

Starburst’s new Data Products user experience is the ideal platform for creating and consuming data products in order to assist in the implementation of a Data Mesh.

Data Mesh: What It Is & Why You Need It

To get the most out of operational and analytical data, many organizations are turning to Data Mesh as their organizational, architectural, and technological approach.

The question of which one to use today (data mesh or data fabric) and whether there is even a question of one versus the other in the first place is not obvious. Ultimately, an optimal solution will likely take the best ideas from each of these approaches.

— Daniel Abadi, Darnell-Kanal Professor of Computer Science, University of Maryland at College Park

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With the Data Mesh approach to data management, retailers can more rapidly deploy data strategies that help them better understand their customers and make valuable business decisions.

Andy Mott MBA, Head of Partner Solutions Architecture and Data Mesh Lead

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Data Mesh architecture closes the gap between these transactions and the process of analysis with data ownership granted to individual teams, allowing them to make quick, real-time decisions without the need for data transfer.

Andy Mott MBA, Head of Partner Solutions Architecture and Data Mesh Lead

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Data Mesh, with its deep understanding of technical necessities of data management and breaking down organisational barriers, will and should become the approach of choice if businesses want to strive to become data-driven in their decisions.

— Jess Iandiorio, CMO

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The Data Mesh offers a framework for companies to democratise both data access and data management by treating data as a product, curated and governed by the domain experts themselves.

— Justin Borgman, CEO

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It’s an acknowledgment that data will be decentralized and that there are advantages to being decentralized, and that really what we’re trying to produce is a single point of access or single point of analytics across all that data regardless of where it lives.

— Justin Borgman, CEO

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Treating data as a first-class product drives domain owners to deliver high value and high-quality data for analysis by a wide range of consumers across the organization. I’m proud of the team for delivering what I believe is the first solution of its kind.

— Justin Borgman, CEO

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This shift [to decentralized] is business-driven, not IT-driven. This demonstrates the urgency to deliver digital transformation. IT has realized that we can’t migrate to — or sustain — a centralized architecture with the efficiency that the business demands.

— Adrian Estala, VP of Data Mesh Consulting Services

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This combination of decentralized data ownership and treating data as a product as part of a Data Mesh approach removes the bottlenecks that come with the traditional data warehousing and data lake models, and in doing so, allows companies to drive faster insights.

— Andy Mott, Partner Solutions Architect

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Enterprises have found moving large amounts of data to be cumbersome, expensive and time consuming delaying major business decisions. The Data Mesh concept not only solves this problem but also is a step towards ensuring that data is treated as a first-class product as it is no longer a by-product of an organisation’s operations

— Collen Tartow, Director of Engineering

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Companies today realize that it’s a fool’s errand to try to consolidate all of your data into a single data store, and that sentiment is driving the shift to a Data Mesh architecture. Starburst aims to be the de facto query engine for the Data Mesh paradigm.

— Justin Borgman, CEO

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Data Mesh is not necessarily about a specific type of technology or code that magically solves data problems at the touch of a button. Instead, it’s about the human side of technology and getting teams to be able to work independently to maximise the value out of data within that organization.

— Justin Borgman, CEO

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Achieving a successful Data Mesh architecture requires the ability to access data in disparate systems and sources.

— Matt Fuller, VP of Product

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A Data Mesh approach can help financial services better serve its customers and showcase how innovation and success is enabled via a data-driven strategy. Data Mesh decentralises data management and diminishes the impacts of silos and bottlenecks by giving teams ownership, control, and access to their own data.

— Andy Mott, Partner Solutions Architect

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With Starburst, TSYS is working towards achieving a sound Data Mesh infrastructure to help their business scale and unlock more data-driven insights.

— Justin Borgman, CEO, Starburst and Mahesh Lagishetty, VP Data Engineering

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The data fabric fundamentally is about eliminating human effort, while the data mesh is about smarter and more efficient use of human effort. Of course, it would initially seem that eliminating human effort is always better than repurposing it. However, despite the incredible recent advances we’ve made in ML, we are still not at the point today where we can fully trust machines to perform these key data management and integration activities that are today performed by humans.

— Daniel Abadi, Darnell-Kanal Professor of Computer Science, University of Maryland at College Park

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By giving the experts greater control over the data from the beginning of the data management process, businesses will be less likely to lose key data and will be able to bypass common bottlenecks that occur in a centralized approach. The agility of this approach is beneficial for the overall business and will allow for more time to be spent on the analysis, rather than data transfers or depending on the constraint imposed by a centralized IT function.

— Andy Mott, Partner Solutions Architect

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As the amount of online data increases and therefore the ability to generate more comprehensive customer insights, it is key to select a data strategy that is focused on removing the impact of inefficient silos and focused on decentralised data for maximum operability and efficiency. This is where data virtualisation can make a significant positive impact, and even more so when it’s part of the adoption of a data mesh based approach.

— Andy Mott, Partner Solutions Architect

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