Data Mesh principles, a departure from traditional data management, aim to address the challenges of scaling and managing complex data in modern, large-scale organisations. This decentralised approach treats data as a product, with domain-oriented, decentralised data ownership and governance.
The first principle, Domain-oriented decentralised data ownership and architecture, advocates for treating data as a product within its domain. This approach encourages product teams to take ownership and responsibility for the data they generate, ensuring its quality, security, and availability.
The second principle, Data as a product, emphasises the importance of viewing data not as a by-product but as a valuable asset. Teams should consider the lifecycle of their data, from its creation to its use, ensuring it meets the needs of its consumers.
The third principle, Self-serve data infrastructure as a platform, encourages teams to use technology and infrastructure that allows them to manage their data autonomously. This principle supports the decentralised model by reducing reliance on centralised data teams.
The fourth principle, Federated computational governance, calls for a shift from centralised governance models to a federated, policy-based approach. This enables teams to make decisions about their data while ensuring compliance with organisational policies.
Overall, Data Mesh principles offer a promising approach to managing data in large, complex organisations. They encourage decentralisation, autonomy, and a product-focused view of data, which could lead to improved data quality, security, and availability.
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