Enterprise applications based on SOA, Webservices or EAI, there are lot of data routed, enriched, transformed. In some projects documentation of schema and test data(XML and native data) is part of project document repository.
Issues:
lack of real time schema availability.
less possibility of data validation
Oftenly vendor for development and maintenance is different
reuse of schema
WS-I* compliance
Why?
Enterprise vision for data modeling
Enterprise wide adoption for common data model
Layers:
Data
Data access
Service layers
Schema access services - create, update,delete,versioning
Test data access services - create, update delete, versioning
Schema validation services - availability, validation, namespace compliance, standard compliance
Technology layer:
NoSQL for Schema and test data storage
Rest services to operate on schema and test data
Why?
Enterprise vision for data modeling
Enterprise wide adoption for common data model
Layers:
Data
Data access
Service layers
Schema access services - create, update,delete,versioning
Test data access services - create, update delete, versioning
Schema validation services - availability, validation, namespace compliance, standard compliance
Technology layer:
NoSQL for Schema and test data storage
Rest services to operate on schema and test data
Message Library: EDIs, standard formats
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