An approach that hands ownership of data to the business domains that produce it, with each domain publishing its data as a product for others to use.
Data Mesh moves the care of each dataset out of a single central team and into the business domain that creates it. Treating 'data as a product' means each department maintains its own high-quality datasets. This structure can reduce Technical Drag and give enterprise AI models accurate, domain-specific data to train on.
See also Technical Drag, Data Mobilization, Data Lakehouse and Vector Database.