Building a Data Mesh Strategy
A data mesh may not be helpful to everybody, and adopting it as hype could be overkill. This chapter will discuss the conditions of when a data mesh is applicable and, for those who can benefit from a data mesh architecture, what should be considered before adopting it. In order to build a data mesh, a company needs to first recognize the current state of its analytical solutions and define its future state. This chapter will walk through the main strategic areas to consider when building your data analytics strategy.
In this chapter, we’re going to cover the following main topics:
- Is a data mesh for everybody?
- Aligning your analytics strategy with your business strategy
- Understanding data maturity models
- Building the technology stack
- The analytics team
- Data governance
- Approaches to building your data mesh
