Ted Byers wrote:
If you really have such a disparity among your series,
then it is a mistake to blend them into a single
table. You really need to spend more time analyzing
what the data means. If one data set is comprised of
the daily close price of a suite of stocks or mutual
funds, then it
Pavel Stehule schrieb:
2007/10/4, Jorge Godoy <[EMAIL PROTECTED]>:
On Thursday 04 October 2007 06:20:19 Pavel Stehule wrote:
I'd use the same solution that he was going to: normalized table including a
timestamp (with TZ because of daylight saving times...), a column with a FK
to a series table
Hello,
i'm currently designing an application that will retrieve economic data
(mainly time series)from different sources and distribute it to clients.
It is supposed to manage around 20.000 different series with differing
numbers of observations (some have only a few dozen observations, other
