What Architectural Components make up a Data Space?
• ORDBMS Engine – for Data Modeling agility (via complex purpose specific data types and data access methods), Data Atomicity, Data Concurrency, Transaction Isolation, and Durability (aka ACID). • Virtual Database Engine – for creating unified views of heterogeneous RDF, SQL, XML, Free Text, and other data. This is all about Virtualization at the Data Access Level. • Web Services Platform – enabling controlled access and manipulation (via application, service, or protocol logic) of Virtualized or Disparate Data. This layer handles the decoupling of functionality from monolithic wholes for function specific invocation via Web Services using either the SOAP or REST approach.
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