Newsletter

February 2025

Data Mesh: What Is It?

A New Paradign for Enterprise Data Architecture

Data Mesh represents a shift from centralized data management to a decentralized, domain-oriented approach where data is treated as a product.

By distributing data ownership to the teams closest to the source, it fosters agility, improves data quality, and enhances collaboration across the organization.

In this newsletter, we’ll delve into how Data Mesh addresses the challenges of traditional data lakes and warehouses, and why it could be the key to unlocking more effective, scalable data strategies for modern enterprises.

 

data-mesh-in-action-book

Data Mesh In Action

By Jacek Majchrzak

This book reveals how this groundbreaking architecture looks for both small startups and large enterprises and how to start implementing a data mesh with flexible processes and organizational change.

It also covers how to turn data into a data product, how to move from your current data architecture to a data mesh, how to identify data domains, how to decompose an organization into smaller, manageable domains, and how to set up the central and local governance levels over data.

 

what-is-a-data-mesh

What Is a Data Mesh?

By Amberle McKee

Centralized data architectures can be an effective data strategy – until they start to struggle with the growing volume and complexity creating bottlenecks.

A data mesh is an architectural system with decentralized and domain-specific data management. This approach empowers teams to take charge of their own data, leading to better data quality and faster insights.  This article offers insights into what it is, how it works, and how to implement it.

 

data-mesh-real-examples-lessons-learned

Data Mesh: Real Examples and Lessons Learned

By Divya Joshi

This article includes examples and lessons learned with Data Mesh work with Gilead, Saxo Bank and other organizations.

Some of those lessons learned include the fact that organizational and operational models are the most significant barriers to adopting Data Mesh and that educating stakeholders and domain teams about Data Mesh is critical to success.

 

data-mesh-101

Data Mesh 101: What Is Data Mesh?

By Tim Berglund

Follow along in this 10 minute video as Tim Berglund (Senior Director of Developer Experience, Confluent) introduces the concept of data mesh and its key four principles:

  1. Data ownership by domain
  2. Data as a product
  3. Data available everywhere by self-serve
  4. Data governed where it is.

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