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Option No. 2: DMSA (DBMS) as Semantic Tier<br />
• Design Principles:<br />
– Business analyst journeyman<br />
assist data analyst master<br />
– DA master works with<br />
Architects and DBA team for<br />
optimization<br />
– <strong>Data</strong> scientist guild master<br />
presents reinforcing and<br />
dissenting analytics<br />
– Architect team works with DA<br />
and BA to prioritize and <strong>de</strong>ploy<br />
• Benefits:<br />
– Familiar to DBAs and data<br />
architects<br />
– Leverages discipline of<br />
analyst/DBA interaction<br />
– Encourages workflow to<br />
inclu<strong>de</strong> data scientist with IT<br />
and data analysts<br />
• Risks:<br />
– Most DBMS external calls<br />
cannot extend optimization<br />
– Channels data access through<br />
a single "choke" point — but<br />
can be managed<br />
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