The Data Mesh approach has been well on its way as an alternative data management approach that does justice to the federative nature of most organizations and the need to provide ownership of data as close as possible to the business domains – where data is actually created and used. However, the transformational impact of Data Mesh is potentially big, and many organizations have found it difficult to implement the approach in all of its dimensions at once. Why not take a lighter approach, reaping benefits one by one, rather than going for an unprepared, deep dive into the Data Mesh rabbit hole?
- Recap: the key elements of the Data Mesh approach
- Best and worst practices from real life
- Crafting a step-by-step approach
- Architectural and technological considerations
- Adding semantics to the Data Mesh
- Using generative AI to augment a Data Mesh.