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The evolving landscape of data architecture has shifted in the past two years with the arrival of AI capabilities -- ...
On the other hand, when standards provide data and architecture guidance to development teams, then these standards should form a basis of how developers implement user stories.
Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...
analyzing, planning, and defining the data architecture framework, including security, reference data, metadata, and master data. creating and implementing data management processes and procedures.
Data architecture – documents the structure of logical and physical data assets and any related data management resources. Technology architecture – describes the hardware, ...
Facing an existential crisis, enterprise architecture must abandon outdated dogma for AI-driven adaptive governance to ensure survival and deliver value. In “Data trust and the evolution of ...
Interoperability is a major part of Stage 3 of Meaningful Use, but the timeframes may be too short to transition from current Consolidated Clinical Document Architecture used in Stage 2 to the ...
Since these MFC components are based on a document/view architecture we would like to use that architecture for the webapplication too. <BR>Searching on the Internet there's not much of ...
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