Data Mesh — Improve Trust Cryptographically
Being able to share, consume and use data throughout an enterprise with almost no technical difficulties while ensuring data quality, data ownership and data consistency is a sought after goal by many enterprises both small and large. The introduction of the data mesh concept makes this goal more of a reality.
The concept of the data mesh revolves around the fact that data is perceived as a product and is shared in a standardised manner throughout an organisation in a mesh structure. Data should be accessible and consumable in a standardised manner which complies with enterprise (or industry) wide standards for both the technical implementation as well as the definition of the data itself.
Data mesh is a sociotechnical approach to build a decentralised data architecture by leveraging a domain-oriented, self-serve design (in a software development perspective), and borrows Eric Evans’ theory of domain-driven design and Manuel Pais’ and Matthew Skelton’s theory of team topologies. The main proposition is scaling analytical data by domain-oriented decentralization. With data mesh, the responsibility for analytical data is shifted from the central data team to the domain teams, supported by a data platform team that provides a domain-agnostic data platform.
