On 9/18/07, Ow Mun Heng <[EMAIL PROTECTED]> wrote:
> On Tue, 2007-09-18 at 09:55 -0500, Scott Marlowe wrote:
> > On 9/17/07, Ow Mun Heng <[EMAIL PROTECTED]> wrote:
> >
> > > Just wondering how everyone is doing aggregration of production data.
> >
> > Where I work, we aggregate by the minute in the
On Tue, 2007-09-18 at 09:55 -0500, Scott Marlowe wrote:
> On 9/17/07, Ow Mun Heng <[EMAIL PROTECTED]> wrote:
>
> > Just wondering how everyone is doing aggregration of production data.
>
> Where I work, we aggregate by the minute in the application, then dump
> those stats entries into the databa
Ow Mun Heng wrote:
> Data which runs in the vicinity of a few million a week.
>
> What are the methods which will effectively provide the
> min/max/average/count/stdev of the weekly sample size based on different
> products/software mix etc.
>
> and still be able to answer correctly, what's the av
On 9/17/07, Ow Mun Heng <[EMAIL PROTECTED]> wrote:
> Just wondering how everyone is doing aggregration of production data.
Where I work, we aggregate by the minute in the application, then dump
those stats entries into the database en masse from each machine. So,
we wind up with rows something l
Ow Mun Heng wrote:
The results are valid (verified with actual data) but I don't
understand
the logic. All the Statistical books I've read marked stdev as sqrt
(sum(x - ave(x))^2 / (n - 1). The formula is very different, hence the
confusion.
A formula is not an algorithm. In particular, the
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On 09/17/07 23:34, Ow Mun Heng wrote:
> Just wondering how everyone is doing aggregration of production data.
>
> Data which runs in the vicinity of a few million a week.
>
> What are the methods which will effectively provide the
> min/max/average/c
Just wondering how everyone is doing aggregration of production data.
Data which runs in the vicinity of a few million a week.
What are the methods which will effectively provide the
min/max/average/count/stdev of the weekly sample size based on different
products/software mix etc.
and still be
