Data Mesh


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Innovative data architectures have been gaining traction as businesses are modernising their Data platforms to become more data-driven organisations; Data Mesh is a key component of their path towards data democratisation and business agility.

Business leaders who have recognised this are shifting to “data as product” and they are building data platforms that not only address immediate constraints of the old technology stack and meet immediate business requirements, but also reduce time to market, improve data governance and future-proof the business.

In this whitepaper, we introduce the differentiating concepts of the data mesh architecture, covering the relationship and differences with other data architectures. We then answer the question “why a data mesh?”, explaining how organisations who are interested in the data mesh can transition to it. Finally, we share the story of how we’ve worked with our client, Showpad, helping them to migrate to a modern data mesh architecture and realise its benefits.


Discover How We Helped Showpad Shift to a Data Mesh Architecture

We travelled to Showpad's Brussels office to hear directly from Head of Data, Jeroen Minnaert, how Reply helped Showpad radically change how it uses information and expects to cut infrastructure costs by 50 percent by adopting a Data Mesh architecture.

Watch this short video as he shares the Showpad story.

Data Reply is a Reply Group company, a premier AWS partner, offering a broad range of advanced analytics, AI ML and data processing services. We operate across different industries and business functions, enabling our customers to achieve meaningful business outcomes through effective use of data, accelerating innovation and time to value.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centres globally. Millions of customers—including the fastest-growing start-ups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.