The evolving nature of technology and rapid growth of data volume, velocity, and variety presents a significant opportunity for businesses. However, companies often struggle to scale their more traditional data stacks. Data Mesh has gained momentum as an alternative, taking a decentralised approach to data management, and enabling businesses to harness and share data effectively to address challenges around scalability.
Considering that Data Mesh is as much an organisational challenge as a technical one – how do you implement it?
In this guide, Datatonic’s Lead Architect, Andy Harding, and Data + Analytics Strategy Lead, Nevile Reid, provide tactical advice on how to take Data Mesh principles outlined by Thoughtworks and put them into practice across the organisation. You will learn:
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