Viewing 10 posts - 31 through 40 (of 40 total)
Denormalizing the database will improve query performance simply because it has less number of joins. The more the joins, worse is the query performance. That's why most of the DW...
May 26, 2008 at 8:39 am
Hi,
I would more information before suggesting something..
1. What is the approx db size (in terms of no. of fact rows) in each quarter?
2. How much historical data is required?...
May 26, 2008 at 8:29 am
Hi,
I presume you are using SSAS 2005. It supports Measuregroups, meaning you can have multiple fact tables in your cube with different granularity.
You can have a single dimension, say,...
May 26, 2008 at 8:19 am
Hi,
If you are still searching for an answer:
You need to learn SSAS (Analysis services) 2005 to build your cubes. You can make use of the wizards which would guide build...
May 26, 2008 at 3:13 am
You can consider using a Synonym. For more info:
May 23, 2008 at 7:55 am
Make sure you give a fully qualified name for the table.. something like:
[databasename].[dbo].OrderDetails
May 23, 2008 at 7:28 am
Hi,
You can try this as well:
UPDATE A
SET A.PDate = B.PDate
FROM OrderDetails A INNER JOIN PartsPricing B on
(A.PartID = B.PartID)
May 23, 2008 at 7:14 am
Hi Greg,
I see your point. Before we start exploring the real complexity, we would like to know the number of codes involved and tasks used in the packages.
Thanks,
Vijay.
December 23, 2007 at 11:24 pm
Hi Mike,
First of all, many thanks for your helping hand. Our packages are stored as dts files and not stored on sql server. So, your application may not help us....
December 23, 2007 at 11:22 pm
Viewing 10 posts - 31 through 40 (of 40 total)