Hey Rob,

This sounds like an interesting observation. What do you mean by
"normalized data management"? I would be interested to have a bit more
of your vision to see where it meshes into my (GIS) world view.

--adrian


On Fri, 2008-07-04 at 11:53 +1000, Rob Atkinson wrote:
> Performance is important, but as IT history shows, its not the fastest
> software or hardware that wins the race, it the one that best meets
> people's needs and capacity to use it, and usually this is perception
> based - will I get sacked or promoted for using it?
> 
> GIS paradigms are fundamentally flawed from a data management
> perspective, and every organisation I come across is trying to unravel
> the mess created by "clone the geometry and hack" approach to data
> management. If we provide some help there (by allowing more normalised
> data management) there will IMHO be less need to stream large numbers
> of features for the usual purpose of eyeballing the to try to
> understand the data management failures of the past. 
> 
> So, getting back to where we were, but enabling improvements to allow
> the data to be meaningful so I might not have to ask for the whole lot
> every time, is in fact a huge step forward, and to be heartily
> congratulated!
> 
> Rob A
> 
> 
> On Fri, Jul 4, 2008 at 5:13 AM, Jody Garnett <[EMAIL PROTECTED]>
> wrote:
>         Andrea Aime wrote:
>         > Jody Garnett ha scritto:
>         >> Thanks Andrea; that email is actually worth a blog post :-)
>         For two
>         >> reasons; it is very informative; and it can start to get
>         people
>         >> excited about 2.5 :-)
>         > Is trying hard to get back to an already established
>         performance level
>         > worth a blog post? I'd blog about new achievements, getting
>         > back what we already had (by doing less) is the bare minimum
>         to avoid
>         > apologizing and be ashamed imho ;)
>         Well the story is interesting; it shows we care about
>         performance; and
>         it talks about the new feature model. Seems good to me. Also
>         talks about
>         the ability to work with unvalidated data which is a new
>         thing.
>         
>         Jody
>         
>         
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