Hi!
When we have approached openEHR storage we have tried to keep use
cases separate and not solve everything with only one database
structure.
A simplified (perhaps naive) version of the reasoning:
1. If you want to access data as big chunks in a certain serialization
format (like openEHR
Greetings,
Somehow this conversation failed to fall into my primary mail screen,
hence the late response and apologies...
When I say specialize in the DB layer, I mean do not fall into the
trap of delegating managing the DB layer design and use completely to
something like Hibernate. There is now
Hi,
Speaking from the HL7 RIMBAA perspective, and echoing a lot of older
cross-industry best practices: to create a database solely based on the
RM is fine - if your aim is to have a database that's not optimized for
any particular purpose, one that can be used for any purpose. In HL7
we've
Hi Seref,
From what we've seen in HL7 RIMBAA EAV is rarely embraced wholesale -
in practice people (if they use EAV at all) use a mixed RDBMS - EAV
approach. RDBMS for its speed and indexing capabilities, EAV for
blob-type storage of rarely searched/used data. If you don't need the
ultimate
Hi Rene,
I did not mean to suggest that EAV is the only design that one should
use. I guess a better attempt to express what I have in mind is this:
people use relational design too heavily in DB layer, mostly due to
benefit of tooling in other layers.
Good analogy about the pudding :)
On Tue,
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-technical mailing
list openEHR-technical at openehr.org
http://lists.chime.ucl.ac.uk/mailman/listinfo/openehr-technical
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until this problem is sorted out.
- thomas beale
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it.
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Neall
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