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Option No. 3: Virtualization as Semantic Tier<br />
• Design Principles:<br />
– <strong>Data</strong> scientist and data analyst<br />
masters i<strong>de</strong>ntify analytic data<br />
patterns and propose.<br />
– DA and business analyst<br />
Journeyman <strong>de</strong>termine top<br />
conten<strong>de</strong>rs.<br />
– Architecture team works with<br />
DA on metrics to <strong>de</strong>termine<br />
promotion to compromise and<br />
conten<strong>de</strong>r.<br />
• Benefits:<br />
– Encourages additional<br />
technology for SLAs<br />
– Creates semantic tier<br />
accessible by all technologies<br />
– Permits rapid prototyping and<br />
re-mo<strong>de</strong>ling of data AND<br />
quick-change between SLAs<br />
• Risks:<br />
– Heavily reliant upon internal<br />
optimization and its limits<br />
– Ass<strong>um</strong>es knowledge of data<br />
access and processing issues<br />
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