metodologia-data-mesh-strategy

Data mesh readiness assessment evaluates your organization against Dehghani's four principles: domain ownership, data as a product, self-serve platform, and federated governance. It analyzes platform constraints and governance needs to determine if a phased adoption strategy can be pursued.

Data product design involves domain decomposition to define ownership, establish SLAs, and set data quality standards. This skill generates data product specifications that map specific domains to their respective owners and quality metrics.

A phased data mesh adoption roadmap starts with a readiness assessment, then drafts a pilot for 1-2 domains before expanding. It produces a 3- to 24-month plan with milestones, organizational change guidance, and hybrid pattern options.

Federated governance automation is a core platform requirement for data mesh. This skill addresses governance, platform requirements, and build-vs-buy analysis to ensure your platform supports domain ownership and self-serve capabilities.

A full data mesh is not recommended if your organization lacks multiple domains or clear governance needs. This skill provides selective mesh and hybrid patterns, allowing a phased pilot approach rather than a full organizational overhaul.

Yes, you can pilot data mesh by drafting a strategy for 1-2 domains before a full rollout. This skill provides a phased adoption roadmap with organizational change plans tailored to specific pilot designs and selective mesh patterns.