From: Aaron Chang (anc327@yahoo.com)
Date: Sun Apr 25 2004 - 14:42:33 PDT
review 3
cse544
1. the interesting thing about this paper is that it
was actually written almost 10 yrs ago.
so we are given the gift of hindsight in evaluating
the author's opinions.
2. they focus on 4 major approaches on incorporating
OOP and relational approaches to data management
3. today, ADTs in rdbms appear in OO-databases
persistance in programming languages appear
less pervasive
db toolkits do not appear used at all,
essentially same conclusion in '96
4. with the advent of XML, the OO aspect of data
management has also been abstracted such that
old-school relational methods could still be used -
still and active area of research
5. language-specific rdbms wrappers are still very
impt
object-relational dbms' are still not totally used,
even if the ideas appeared most favorable in '96
pure-relational or obj-rel approaches are still de
facto standard in the industry, even with the growth
of internet
6. why is it so hard to change? SQL is a pervasive
STANDARD. standards are notoriously hard to enforce.
XML adoption today may be important as it is a
standard that most parties are trying to adhere to.
7. authors were partly right about obj-rel db's
becoming more impt in 10 yrs
and yes, oodb's haven't caught on in a big way,
though they might exist - performance issues
not sure if parallelization has been used to
optimize current existing rdbms'
in all, the authors were mostly right then, a few
years after the internet became the WWW to most
people.
it seems the ease of programming in most cases fell by
the way side when performance and adoption issues
came to fore. both of these aspects have a huge
influence on cost. at some point however, I imagine if
XML become as important as SQL, then a new db model
may evolve more by necessity than by choice
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