Dennis,

I have on my desk, all in varying stages of being read: 
Inmon's book Building the Data Warehouse (very understandable)

Kimball's articles from his site and from the Intelligententerprise.com
site (somewhat understandable, I think you need a base from which to
read his articles). His books are on order and should arrive today

Tim Gorman's book Essential Oracle8i Data Warehousing (this I haven't
started, as Tim tells me to read it AFTER I have a basic understanding
of data warehousing)

The Oracle8i Data Warehousing documentation (actually pretty readable
and understandable)

Ya think I might be over-researching this stuff and panicking a bit?

Rachel

--- DENNIS WILLIAMS <[EMAIL PROTECTED]> wrote:
> Ian, 
> 
>   - In the beginning was the data warehouse and yeah it was good. It
> would
> solve all corporate problems and would encompass all corporate data
> so all
> corporate minions would see the same data.
>   - But yeah it took so long to create the corporate data warehouse
> that
> management despaired and canceled the project. Or by the time the
> monster
> data warehouse came blinking and straining into the daylight all the
> users
> said that the company had evolved in the meanwhile and the warehouse
> was
> obsolete.
>   - So data warehouses gained a bad rep from corporate managers and
> yeah
> none would fain to propose the conception of a data warehouse for
> fear of
> castigation.
>   - Then some marketing interns bribed a DBA to send them data
> weekly. And
> they stored this data in a database and lo, their superiors were
> impressed.
>   - Everyone was in awe of the marketing database, but none dared
> tarnish it
> by speaking the name which shall not be mentioned, so it was
> christened a
> "data mart".
>   - And lo, the data marts multiplied and were fruitful. And the DBA
> cursed
> the day she was weak and did give data to the marketing interns.
>   - Then another prophet did arise and did challenge the prophet
> Kimball.
> His name was Inmon. And he did claim to be the progenitor of data
> warehouses. And therefore all should do data warehousing his way and
> use his
> terms.
>   - And great confusion arose over the land. And many debates ensued,
> including some face to face between Inmon and Kimball. And terms such
> as
> Operational Data Store (ODS) were bandied about.
>   - And some said that queries against the ODS were acceptable and
> others
> deemed them forbidden. And some said that if it looks like a data
> warehouse
> and smells like a data warehouse it verily indeed is a data
> warehouse.
>   - And consultants warred against consultants and did call the other
> consultants ignoramuses in front of management such that nobody knew
> what
> anybody was talking about.
>   - And the DBAs said that creating a data warehouse or data mart was
> not
> nearly as hard as figuring out what to call it.
> 
> The moral of the story is to figure out what you need to do and be
> aware
> that different authors use the same terms for different purposes and
> coin
> their own terms. Personally, I have understood everything that
> Kimball has
> written and have never been able to read one of Inmon's articles to
> the end.
> But maybe that is just me.
> Dennis Williams
> DBA
> Lifetouch, Inc.
> [EMAIL PROTECTED]
> 
> 
> -----Original Message-----
> Sent: Wednesday, May 22, 2002 2:38 PM
> To: Multiple recipients of list ORACLE-L
> Outdated?
> 
> 
> Ian,
> 
> Good question.  I think that I've seen more recenct references in
> articles
> that state the current thinking of DW/DM.  I'm sure that I've seen
> Inmon
> refer to them that way, or maybe it was Richard Winter?
> 
> Anyway, I guess that part is a bit dated.  There is so much good 
> information
> in that book though, that it's still worth its weight in gold.  You
> won't 
> find too many
> publications for $60 that will take you step by step through building
> an 
> entire
> data warehouse, including the infrastructure.
> 
> Jared
> 
> 
> 
> 
> 
> 
> "MacGregor, Ian A." <[EMAIL PROTECTED]>
> Sent by: [EMAIL PROTECTED]
> 05/21/2002 05:48 PM
> Please respond to ORACLE-L
> 
>  
>         To:     Multiple recipients of list ORACLE-L
> <[EMAIL PROTECTED]>
>         cc: 
>         Subject:        RE: Data Warehouse experts, a simple question
> for
> you| Outdated?
> 
> 
> I am new to his books, three chapters in.  The first release of the
> "Data 
> Warehouse Toolkit"  defines a data warehouse much as a data mart is
> today. 
>  Today we think of a data warehouse as having a highly normalized 
> structure which stores information from various sources.  We build
> data 
> marts with structures optimized for querying; e.g., star schemas,
> from the 
>  warehouse.  Kimball writes of the warehouse itself being based on a
> star 
> schema.
> 
> The term data warehouse has not been immutable over the years.  It
> was 
> probably defined exactly as he has done when the book was first
> written. 
> Do his new books redefine "data warehouse"? 
> 
> Ian MacGregor
> Stanford Linear Accelerator Center
> [EMAIL PROTECTED]
> 
> -----Original Message-----
> Sent: Tuesday, May 21, 2002 2:16 PM
> To: Multiple recipients of list ORACLE-L
> 
> 
> I second Jared's opinion. Ralph's books are clear and easy to read.
> This 
> is
> the fundamentals of data warehousing. 
> Dennis Williams
> DBA
> Lifetouch, Inc.
> [EMAIL PROTECTED]
> 
> 
> -----Original Message-----
> Sent: Tuesday, May 21, 2002 2:30 PM
> To: Multiple recipients of list ORACLE-L
> 
> 
> Yup, $60, and worth every penny.
> 
> It may be 4 years old, but the information is still pertinent.
> 
> Jared
> 
> 
> 
> 
> 
> Joe Testa <[EMAIL PROTECTED]>
> Sent by: [EMAIL PROTECTED]
> 05/20/2002 05:53 PM
> Please respond to ORACLE-L
> 
>  
>         To:     Multiple recipients of list ORACLE-L 
> <[EMAIL PROTECTED]>
>         cc: 
>         Subject:        Re: Data Warehouse experts, a simple question
> for
> you
> 
> 
> looks like published aug of 98 for that book?, like $60?
> 
> joe
> 
> 
> [EMAIL PROTECTED] wrote:
> 
> >Joe,
> >
> >Add a generated PK to the time dimension.  The PK is stored
> >as an FK in the fact table.
> >
> >That way you can select from the time dimension by year, day, qtr, 
> >whatever,
> >and easily pick out the correct fact table rows.
> >
> >"The Data Warehouse Lifecycle Toolkit" includes a spreadsheet to
> generate
> 
=== message truncated ===


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