Glossary - M

AI-based language that automates data analysis, allowing retailers to integrate historical and real-time data and analyze patterns. (Source 3)

Master data is the consistent and uniform set of identifiers and extended attributes that describes the core entities of the enterprise including customers, prospects, citizens, suppliers, sites, hierarchies, and chart of accounts  (Source 22)

Data about data, of any sort in any media, that describes the characteristics of an entity. 

Microservices is a variant of the service-oriented architecture (SOA) architectural style that structures an application as a collection of loosely coupled services. In a Microservices architecture, services should be fine-grained, and the protocols should be lightweight. The benefit of decomposing an application into different smaller services is that it improves modularity and makes the application easier to understand, develop and test. It also allows for parallelism in development by enabling small autonomous teams to develop, deploy and scale their respective services independently. It also allows the architecture of an individual service to emerge through continuous refactoring. Microservices-based architectures enable continuous delivery and deployment (i.e., DevOps). 

In TR224, "Name" is not defined but several characteristics of Name are provided, i.e., 
• That we provide for many names, by having a Set of names for an Entity. 
• Because names can’t be guaranteed to be globally unique, each name will have its context (scope) stored with it. 
• A name should be unique within its defining context. 
• It should also have a reference to its naming

Microservices is a variant of the service-oriented architecture (SOA) architectural style that structures an application as a collection of loosely coupled services. In a Microservices architecture, services should be fine-grained, and the protocols should be lightweight.