Bruce,
I am not taking issue with database management of vector data sets,
but with the stuffing of raster data into databases. I still have not
heard a compelling use case for raster in the database.
12 million records is teensy. Stuff it into PostGIS. It's the billion-
point LIDAR sets that leave me queasy, but I can't begin to think of a
reasonable architecture for that without learning more about how the
points are actually USED, which I really am not clear on at the moment.
P.
On Feb 21, 2008, at 5:25 PM, [EMAIL PROTECTED] wrote:
IMO:
Paul,
>
> On Feb 21, 2008, at 4:19 PM, [EMAIL PROTECTED] wrote:
> >
> > What it comes down to is what is appropriate for your use case.
>
> Indeed! However, there seem to be vanishingly few use cases for
which
> raster-in-database is actually the more appropriate solution.
>
;-) I beg to differ.
> (BTW, point-in-time recovery, a nice example of a place where
database
> semantics have an upper hand. Although more modern file systems and
> enterprise backup systems are pretty competitive now... even a
> relatively simple hack like the OS/X Time Machine feature solves
that
> problem for-all-practical-purposes.)
>
Trying to manage very large regional datasets via a file based
solution is problematic as described earlier with tile based
approach to vector data in particular. Again for my use case the DB
is better.
Just to throw in another related issue:
Lidar systems are throwing out an enormous amount of data. I had one
dataset of only around 17 million odd records several years ago (of
course stored in our corporate db ;-) ) that we could not handle
with ArcGIS Desktop (v9.1). From memory it was a 32bit issue.
What approaches are people using with large Lidar datasets?
Bruce
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