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DIGITAL TRANSFORMATION


FROM DATA FABRIC TO DATA MESH


In recent years, much has been made of the data fabric concept, and rightfully so. The data fabric is an architec- ture that facilitates the end-to-end integration of various data environments, providing machine-enabled unification and integration of data from disparate sources. The data fabric streamlines sharing of data between users and applications. The problem arises for the Army, however, when we try to scale a data fabric to cover all the needs of every user in every domain (e.g., intelligence, logistics, etc.). The data needs of an intelligence specialist would be different from those of a logistician. There are so many types of data that creating a single uber-fabric to centrally manage everything is unwieldy. And even if it were technically feasible to accommodate every user and every data type, the volume of data then traversing that fabric would make it quite crowded.


DATA MESH SHARES DATA PRODUCTS


A data mesh is a decentralized data architecture that organizes data by a specific business domain, according to IBM. By providing more ownership to experts in those domains, the data can be more effectively managed by those with the expertise. The data mesh concept specifies standards by which data can be packaged (the data product) and labeled (the metadata) to be consumed by an external consumer. (Graphic by Dan Andrew, DASA DES and USAASC)


First defined by Zhamak Dehghani in 2019, the data mesh concept simplifies this problem by specifying standards by which data can be packaged (the data product) and labeled (the metadata) to be consumed by an external consumer. Instead of a crowded, centralized data platform, the data mesh calls for a decentralized architecture that keeps the storage and ownership of the data within its originating domain. Since domains have the expertise in their data, policies about governance, documentation and access are more efficiently managed at that level.


Consumers have an efficient catalog system that tells them where to pull the data they need and how to provide feedback directly to the data owners so products can be updated on user needs. With data mesh, the intel special- ist has seamless access to intel data in the intel data fabric, but now also can locate and consume standardized data products from the logistics team, or any other domain participating in the data mesh architecture.


https://asc.ar my.mil


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