Introduction to Data Mesh

Data mesh builds a layer of connectivity that takes away the complexities of connecting, managing, and supporting data access. It is a way to fasten the data together that is held across multiple data silos. It combines the data distributed data across different locations and organizations.

Data mesh provides data that is highly available, easily discoverable, and secure. It is beneficial in an organization where a team generates data from many data-driven use cases and access patterns in data mesh.

We can use data mesh, like when we need to connect cloud applications to sensitive data that lives in a customer’s cloud environment. Also, when we need to create virtual data catalogs  obtained from various data sources that can’t be centralized. There is also a situation in which data mesh is used, for instance, when we create virtual data warehouses or data lakes for analytics and ML training that can be done without consolidating data into a single repository.

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