What is Data Mesh?
Data Mesh is a new approach or strategy for data management. Important building blocks of this approach are the decentralisation of data and the understanding that data are strategic assets. Data Mesh is an answer to central data teams that reach their limits at a certain point: decreasing innovation rates, increasing time-to-market, general frustration regarding data quality and availability.
Data Mesh builds on the concept of Domain Driven Design by Eric Evans and extends it to include the aspect of data.
Does data mesh make sense for my business?
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Discover what lies behind the 4 principles and gain insight into how Data Mesh operates in real-world scenarios.
The four main principles of Data Mesh
Domain ownership
Decentralization and distribution of data responsibility to people who are closest to the data
Data as a product
This comes down to two main interpretations: Data is treated as a product. Therefore, consumers of data should be treated as customers.
Self-serve data infrastructure
Reduces the effort needed to build data products and therefore speeds up the process and increases quality through standardization.
Federated computational governance
In a mesh of independent data products a federated governance ensures trust and security.