I currently see the data mesh as being particularly relevant for large organizations. A central model is very well suited for smaller companies at the moment.
- Critical skills are bundled in a single team.
- At a small organization, a central team can guarantee proximity to business.
- A small, central team does not have the coordination problems/overhead of large central teams.
As technical support improves, the data mesh will also become more relevant for smaller organizations. It's just a matter of time.
In March, I was a moderator at a Google event on data meshes. With two interesting and experienced speakers - Dr. Anna Hannemann and Peter Kühni - also present here, 30 clients discussed their expectations and challenges in their daily use of data meshes. Clearly, many expect to be able to better manage growth and gain further relevance with the help of data meshes. Among the challenges here is the data mesh's complexity which demands consistency across different teams as well as more communication and technical support. The first tools for technical support are already available on the market, but not yet established and still complicated in nature.