Data Mesh in Action

Discover the newest paradigm in the data world and see how your company can benefit from it.

Data Mesh is a relatively new concept that was one of the fastest-growing trends during 2020. It extends the paradigm shift that was introduced by the microservices architectures and applies it to data architectures, enabling agile and scalable analytics and machine learning or artificial intelligence.

Data Mesh provides an alternative to the “centralized” organizational and architectural pattern of the data lake with a distributed and decentralized architecture that's designed to help enterprises to:

Enable agility and business scalability
Reduce the time-to-market of the business initiatives
Lower maintenance costs
Allow a fair and transparent internal cost allocation.

Data Mesh is a journey that doesn't always start from 0. Many enterprise already have pieces in place that could contribute to a successful Data Mesh architecture. Before putting the pieces together, you have to know where you're at in your Data Mesh journey. Find out today, with the Data Mesh Readiness Assessment.

Test your Data Mesh Readiness

Witboost: Data Mesh Enabler

Discover Witboost also as an enabler of Data Mesh architectures, thanks to its technology agnostic design and close adherence to the four pillars of the Data Mesh paradigm. Discover how Witboost can help you implement Data Mesh faster, following the paradigm's pillars below:

A unified workspace for each domain with full autonomy in delivering value, while leveraging the platform's capabilities end-to-end.
Profoundly automate your Mesh with Templates. Each has full provisioning automation along the entire data product lifecycle.
Enforce your governance with computational policies along the delivery process. All handled by the platform team.
Standardize Data as a Product thinking with Templates and boost interoperability across data silos, ultimately breaking them down.

Even in a rapidly evolving scenario, we have already developed a concrete experience with Data Mesh projects, that we are sharing in the following contents.

Go further and discover more!

White Paper


The Practical Guide to Data Mesh Implementations

This whitepaper explores how businesses can identify, avoid, and solve the most common obstacles for scaling a successful Data Mesh initiative.

It also covers how Witboost helps an organization solve these challenges, maintain a technology-agnostic approach and embrace all the core Data Mesh principles for a functional Data Mesh implementation delivered faster and with lower risk than other approaches.

Starting with the gradual implementation to demonstrate its potential and quick time-to-market and ending with consolidation across many years, organizations can use this 3-phased approach to implementing Data Mesh and assessing its value by themselves.

The whitepaper delves into:

  • The challenges of each obstacle

  • The impacts of each obstacle

  • The solution to each obstacle

Get Your Free Copy


Data Mesh A-Z Guide

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Still new to Data Mesh?
Read this guide that navigates Data Mesh-related terms from A to Z, providing a focused description of each term to facilitate exploration and learning in a short format.

Download the Free Guide


Podcast Episodes

Implementing Data Mesh Initiatives

Paolo Platter, CTO at Agile Lab discusses data mesh, from basic principles to use-case specifics, with Christina Stathopoulos, Data Whisperer and Data Expert.

  • Who we are
  • 4 Pillars of Data Mesh
  • Challenges in implementing Data mesh for enterprises
  • Data Mesh Benefits (vs. monolithic models)
  • Client Use Case: Our first data mesh implementation

Listen to the Podcast


Data Product Flow – How To Discover and Create Your Data Products 

Interviewed by Scott Hirleman, the founder of the Data Mesh Learning Community, Paolo Platter talks about Data Product Flow, the methodology that Agile Lab is currently using to help customers moving their organizations to Data Mesh.

Learn About Our Unique Methodology


Knowledge Base Articles on Data Mesh

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Technology Abstraction in the Data Mesh

In this article we address the mistake companies make by staking their Data Mesh implementation on technology when the entire paradigm shift is based on a technology agnostic approach.
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Data Mesh in Organizational Culture

This article wants to introduce the theory of organizational culture and leadership by Edgar Henry Shein as a framework to analyze and address cultural actions.

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Scaling Data Mesh in Large Organizations

This contribution wants to shed a light on some of the limits that a Data Mesh implementation will experience sooner or later.

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How to model Data Products

When it comes to modelling Data Products people go into panic. There are no clear rules, only some conceptual and not actionable indications.

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Data Mesh Monoliths Integration Patterns

This article focuses on the technical issues of a company that is in the stage of breaking data monoliths to enable inbound and outbound integration with the Data Mesh.

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Powerup Metadata, Automate Data Mesh

Dive into our practical approach when it comes to metadata. It's open source and used by many of our clients to enable much-needed automation for their Data Mesh journey.

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Tech Talk Series

Tech Talk is a series about the Data Mesh paradigm.

Our co-founders, Alberto Firpo, CEO, and Paolo Platter, CTO, discuss Data Mesh aspects, such as use cases, organizational changes required to adopt the paradigm, and transitioning from different architectures (such as Data Lake and Data Warehouse) to Data Mesh.