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RE: Datawarehousing help

From: <Jared.Still_at_radisys.com>
Date: Mon, 06 May 2002 14:30:54 -0800
Message-ID: <F001.00459645.20020506143054@fatcity.com>


Whether you start designing a full blown DW or start with some DM's really depends on a number of things:

  1. experience
  2. money
  3. time

Kimball et all suggest you start with projects that can be completed in 90 days, and assemble your DW piece meal.

If you're starting from scratch, you may have to work backwards on it to give your users some experience ( as well as your self ).

I have had the good fortune of working on 2 DW's with very experienced folks, and learned a heck of a lot in the process.

The best pointers I can give at the moment are to buy Kimball's books, and find a good consultant that really knows how to design DW.

Jared

dmeng_at_focal.com
Sent by: root_at_fatcity.com
05/06/2002 02:23 PM
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        To:     Multiple recipients of list ORACLE-L <ORACLE-L_at_fatcity.com>
        cc: 
        Subject:        RE: Datawarehousing help



Hi Jared -
I am a little confused about this -
1. "A DW may be a true 'warehouse' of enterprise data from which DM may be built."
  "This is a full blown DW architecture though, and you may only wish to start with some DM to get your feet wet, or maybe that's all that is actually needed."
So DM first or DW first? The first statement seems to suggest DW, but the second seems to suggest DM.
2. "A DW may in fact very much resemble an OLTP database, with a temporal component thrown in to track changes to data over time." So DW is not star-schema but DM is? Can you elaborate a little on how DW resemble an OLTP.
I am very interested in data warehousing and please let me know if you have
any good pointers.

TIA Dennis Meng
Database Administrator
Focal Communications Corp.   

                    Jared.Still_at_r  
                    adisys.com           To:     Multiple recipients of 
list ORACLE-L <ORACLE-L_at_fatcity.com> 
                    Sent by:             cc:   
                    root_at_fatcity.        Subject:     RE: Datawarehousing 
help 
                    com  
  
  
                    05/06/02  
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                    Please  
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                    ORACLE-L  
  
  




A DW is not simply a collection of data marts.

A DW may be a true 'warehouse' of enterprise data from which DM may be built.

Extracts go to the DW, DW is used to build DM.

A DW may in fact very much resemble an OLTP database, with a temporal component thrown in to track changes to data over time.

Users are not (generally) allowed acces to the DW.

This is a full blown DW architecture though, and you may only wish to start with some DM to get your feet wet, or maybe that's all that is actually needed.

Jared

Rachel_Carmichael_at_Sonymusic.com
Sent by: root_at_fatcity.com
05/06/2002 06:53 AM
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        To: Multiple recipients of list ORACLE-L <ORACLE-L_at_fatcity.com>

        cc:
        Subject:        RE: Datawarehousing help




Dennis,

Forgetting about normalization won't be a problem, I've always been more practical than "by the book". As for amounts of data being collected, I can see
them wanting data aggregated hourly.

I greatly doubt the tech people will allow adhoc queries, they seem to "do things right" here. What will happen is that they will be contacted by marketing
with an "I need this new report NOW" request, but tech will generate it. But
*my* problem is that the data warehouse will supposedly be only a small part of
what I'm responsible for, I don't think they understand the scope of what they
are asking for, as yet. They will, I'll make sure of it.

Right now, as this is a new internal group, I'm still collecting information on
which databases I will be responsible for. Then I just have to remember that
when I set deadliines, I am prone to underestimation. :)

Rachel

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| | DWILLIAMS_at_lif|
| | etouch.com |
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| | 05/03/2002 |
| | 08:48 PM |
| | Please |
| | respond to |
| | ORACLE-L |
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|--------+-----------------------> >----------------------------------------------------| | | | To: ORACLE-L_at_fatcity.com | | cc: (bcc: Rachel Carmichael) | | Subject: RE: Datawarehousing help | >----------------------------------------------------|

Rachel - I always find it helpful to understand something if I know the origins. I worked with SAS several years ago. At that time it was a statistical analysis package. A scientist or engineer could load a set of test data into it and perform various arithmetic and statistical analyses. Today most of that can be done with Oracle or MS Excel. My point is that I would expect it to be heavily biased toward mathematical capabilities. Like
Data Mining, which is all statistics. Learn what that term means.

           To learn Data Warehousing, I would encourage you to just do some
"Googling" and find good tutorials. An excellent newslist is dwlist. Instructions:

For help with list commands, send a message to <mailto:dwlist-request_at_datawarehousing.com> with the word "help" in the body of the message.

The magazine http://www.intelligententerprise.com/ has some excellent information. I would search for "Ralph Kimball". He is one of the leading figures in the DW arena. Look for some of his earliest columns on the magazine site. He also answers questions on dwlist from time to time.

The main change you need yourself is to forget normalization. DBAs that can't get past that point don't last long in the DW field. In the early days
the DW people would patiently explain the reasons to a DBA, but today there
are enough DBAs that have made the leap that a hard-headed normalization bigot just isn't tolerated. It is much easier to just ask for a replacement
DBA.
           The reason normalization isn't adhered to in DW is that users will
be creating their own queries and they can't understand 10-table joins with
outer joins, etc. A DW is usually loaded and then queried. Our DW is loaded
each weekend and then queried all week. So a DW is deliberately denormalized
and contains redundant data for ease of use.

           OLTP databases have no concept of "time". A DW is all about time. To
reconstruct what the situation is at various points of time, the DW has loads of historical data. For example, marketing people need to be able to reconstruct the amount of business they did with a customer over a period of
time last year and compare it with the same period this year.

           So between denormalization and tons of detailed historical data, DWs
are normally BIG! Fortunately they are usually read-only.

           For Oracle, you want Enterprise Edition with the partitioning option. And study Oracle Materialized Views.

           In schema, a DW is usually a central fact table and 4-6 dimension
tables. Less than 4 dimensions and you don't need a DW. More than 6 and marketing people can't understand the model. Normally the fact table is much
larger than the others, but not always. One of Wal-Mart's dimension tables is each person in the U.S. Just size each of those tables, and you've got your size. Growth is easy to predict. Ralph Kimball warns that often people
will get the grain wrong. They will size it for data summarized at the weekly level, then after it is built they will realize that isn't going to cut it and need a daily level. You must start almost from scratch and get 7
times the disk capacity. That is the fun side of being a DW DBA. Your cynical instincts will still serve you well, just get them away from normalization and worry about getting the grain right.

           Okay, I've rambled along here too long. Hope that gets you off on
the right foot.

-----Original Message-----
[mailto:Rachel_Carmichael_at_Sonymusic.com] Sent: Friday, May 03, 2002 5:08 PM
To: Multiple recipients of list ORACLE-L

Okay, my background is OLTP, but we are looking at a data warehousing project
here....

any and all help appreciated! Specifically:

  1. does anyone have any experience with a product called "SAS Datawarehousing Administrator" (or SAS)?
  2. how do I go about doing rough estimates of sizing needs, assuming I will get rough numbers of information being collected, growth rates, length of history to keep, etc.

help?

Rachel

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Received on Mon May 06 2002 - 17:30:54 CDT

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