The term data mesh is particularly at home in the categories of big data, smart data and digital transformation. It describes a modern approach to how companies deal with large amounts of data.
Traditionally, all data ends up in a central data repository that is managed by an IT department. With data mesh, things are different: instead of a centralised solution, different teams within the company are responsible for "their" data. Each team treats its data like a product in order to make it easily usable for other teams.
This means that data can be used faster and more flexibly, without long waiting times for approval or everything having to be processed by a central office.
An example: An online shop has various departments for logistics, marketing and customer service. With Data Mesh, these departments maintain their data independently, prepare it well and make it available to other departments as required. This speeds up processes and makes the use of data more effective because the teams can contribute their expert knowledge directly.
In this way, Data Mesh helps to extract real added value from the wealth of information available.
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