Data Mesh#
A data mesh is a way of designing and operating data systems that aims to be more resilient, scalable, and flexible than traditional monolithic data architectures. It is based on the principles of a service mesh, which is a way of designing and operating microservices architectures.
In a data mesh, data is treated as a product, and data services are developed and deployed independently. Each data service is responsible for its own data, and is responsible for providing data access to other services. Data services are loosely coupled and can be developed, deployed and scaled independently of each other.
This approach allows organizations to break down large, monolithic data systems into smaller, independently deployable data services that can be owned and operated by different teams. This allows teams to work more independently and to innovate faster, while also reducing the risk of changes to one data service affecting the whole system.
Data mesh also includes a data catalog that allows teams to discover, understand, and use the data services available to them, and also tools for data governance and data security.
Data Mesh is a more modern way of designing and operating data systems that allows organizations to be more agile and responsive to changing business needs. It also allows for a more flexible and scalable data architecture that can accommodate a larger number of data services and teams, promoting autonomy and ownership of data.