In weniger als einer Minute können Sie mit dem Lesen von The Data Warehouse Toolkit auf Ihrem Kindle beginnen. Sie haben noch keinen Kindle? Hier kaufen.

An Ihren Kindle oder ein anderes Gerät senden

 
 
 

Kostenlos testen

Jetzt kostenlos reinlesen

An Ihren Kindle oder ein anderes Gerät senden

Lesen Sie Bücher auf Ihrem Computer oder auf anderen Mobilgeräten mit unseren GRATIS Kindle Lese-Apps.
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
 
 

The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling [Kindle Edition]

Ralph Kimball , Margy Ross
5.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)

Digitaler Listenpreis: EUR 51,52 Was ist das?
Kindle-Preis: EUR 32,99 Inkl. MwSt. und kostenloser drahtloser Lieferung über Amazon Whispernet

Weitere Ausgaben

Amazon-Preis Neu ab Gebraucht ab
Kindle Edition EUR 32,99  
Taschenbuch EUR 53,60  

Kunden, die diesen Artikel angesehen haben, haben auch angesehen


Produktbeschreibungen

Pressestimmen

"...this is the daddy of data warehousing process books. No other material available so concisely and precisely explains what is required from a data warehousing solution...this is a great book..." (Enterprise Server Magazine, July 2002)

Kurzbeschreibung

The latest edition of the single most authoritative guide on dimensional modeling for data warehousing!

Dimensional modeling has become the most widely accepted approach for data warehouse design. Here is a complete library of dimensional modeling techniques-- the most comprehensive collection ever written. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball's classic guide is more than sixty percent updated.

The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including:

* Retail sales and e-commerce

* Inventory management

* Procurement

* Order management

* Customer relationship management (CRM)

* Human resources management

* Accounting

* Financial services

* Telecommunications and utilities

* Education

* Transportation

* Health care and insurance

By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.

This book is also available as part of the Kimball's Data Warehouse Toolkit Classics Box Set (ISBN: 9780470479575) with the following 3 books:

The Data Warehouse Toolkit, 2nd Edition (9780471200246)

The Data Warehouse Lifecycle Toolkit, 2nd Edition (9780470149775)

The Data Warehouse ETL Toolkit (9780764567575)


Produktinformation


Mehr über die Autoren

Entdecken Sie Bücher, lesen Sie über Autoren und mehr

Welche anderen Artikel kaufen Kunden, nachdem sie diesen Artikel angesehen haben?


Tags

 (Was ist das?)
Bei einem Tag handelt es sich um ein Schlagwort, das zum Produkt passt.
Tags erleichtern allen Kunden die Suche und die Sortierung ihrer Lieblingsprodukte.
 

Kundenrezensionen

4 Sterne
0
3 Sterne
0
2 Sterne
0
1 Sterne
0
Die hilfreichsten Kundenrezensionen
5 von 6 Kunden fanden die folgende Rezension hilfreich
Perfect practical cookbook 11. Januar 2006
Von andy_007
Format:Taschenbuch
The book has fulfilled my personal expectations for a practical guide in setting up the Data Warehouse. After concise delving into dimensional modelling all kinds of business environments by branch are tackled for best practice and also obstacles which lay ahead when delivering concrete and robust based Data Marts and Warehouses. I personally like the Author's apporoach to a blend of IT based facts like discussion on dimensions, keys, data table size and so on together with business user expectations and terminology. This is highly readable.

The book should best be purchased and read with it's companion from same author "The Data Warehouse Lifecycle Toolkit" where the full project planning and lifecycle administration together with in-depth techniques for dimensional modelling are layed out.

Full 5 of 5 possible for the twosome DWH package. Recommended!

War diese Rezension für Sie hilfreich?
Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com:  42 Rezensionen
115 von 121 Kunden fanden die folgende Rezension hilfreich
Practical Wisdom 5. Mai 2002
Von Jim Stagnitto - Veröffentlicht auf Amazon.com
Format:Taschenbuch
There are a lot of data warehousing books out there that try to answer the question: 'Why'? Why data warehouses are needed to help businesses make better decisions - why the OLTP systems that run the business can't do this - and sometimes even why businesses ought to invest in data warehouses. These books were terrifically useful to us years ago, when we needed help (and scholarly footnotes) in our data warehouse project proposals. This book is not one of those - it is all about:

How

How to actually design and build a repository that will deliver real value to real people. In this reviewer's opinion, Ralph Kimball's many contributions related to the 'how' of data warehousing stand alone.

An engineer wishing to jump-start his or her data warehouse education would need to read Ralph's Data Warehouse Toolkit first edition, his Data Webhouse Toolkit... a bunch of "Data Warehouse Designer" Intelligence Enterprise magazine articles... AND lurk on the Data Warehousing List Server...for a few years (all terrific resources - by the way) - in order to stockpile the knowledge that is crisply presented here.

No shortcuts taken by the authors that I can spot: all of the toughest dimensional design issues that I've tripped on - and that I can remember surfacing on in discussion groups over the past few years - are addressed in this significantly updated text. Not all of the solutions are 'pretty' - but it is clear that they thoughtfully address the problem. This approach, in my opinion, instills student confidence - and lets us know that we are getting sound instruction - not dogma.

The authors have been listening to and addressing the data warehouse community's 'pain' through periodicals and posts for years - but this book pulls these point solutions together very nicely. I learned a surprising number of really useful new techniques, and was genuinely enlightened by the 'Present Imperatives and Future Outlook' section.

As in the first edition, there is minimal philosophical lecturing, and zero religion. Instead, we get generous helpings of real-world case studies - aptly applied to progressively more advanced series of design concepts.

This style absolutely works for me. And I suspect that engineering mindsets typical of the folks that build these things will likely agree. In short, the Data Warehouse Toolkit Second Edition will significantly lighten the load of books that I carry between data warehouse engagements.

Jim Stagnitto
Llumino, Inc.
www.llumino.com
43 von 46 Kunden fanden die folgende Rezension hilfreich
Top-notch course in dimensional data warehouses 27. August 2002
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format:Taschenbuch
If you want to understand data warehouse design either as user, architect or developer, you need to read this book cover to cover.

Things I like about this book:

* Coverage of all core principles in dimensional data modeling using examples. Ralph does not just lecture to you -- he shows you how to put it into practice

* Coverage of a vast variety of domains. This alone makes the book a must-read

* Recap of major principles at the end of the book to bring it all together

* Excellent writing -- Ralph does not treat you like a dummy; neither does he assume that you have an IQ north of 200

* When you purchase this book, you are in effect purchasing a sliver of the combined knowledge of both authors in the data warehousing field. Highly recommended

I implemented a data warehouse using some of these principles back in 1999. The project was a resounding success and is the most popular application in the financial services firm that I implemented it in. (Infact when I lost my job at an Internet company, they immediately offered me a job based on this implementation). The only sad part to the whole story is that we made a few mistakes in implementation that are now very difficult to correct because the data warehouse has become core to the business -- we have too many end-user applications riding on it!

22 von 23 Kunden fanden die folgende Rezension hilfreich
An Indispensible Book 7. Juni 2003
Von Paul A. Chernoch - Veröffentlicht auf Amazon.com
Format:Taschenbuch
After six years of creating data warehouse applications, making a plethora of mistakes and learning stuff the hard way, I wish I had had this book at the start! Every other page offers a solution to some problem or other that I have had. In the project I am just starting I am facing new challenges and am finding help with them as well. The best part is how solutions I used in the past which were appropriate for those problems are contrasted with solutions for problems like the ones I am facing now. Almost as bad as solving a problem the wrong way (or overlooking it entirely) is reusing an old solution that does not fit the new problem. This book clearly spells out when each solution is appropriate. I can not speak too highly about how useful this book will be for you!
Kundenrezensionen suchen
Nur in den Rezensionen zu diesem Produkt suchen

Beliebte Markierungen

 (Was ist das?)
&quote;
All the data marts must be built using common dimensions and facts, which we refer to as conformed. &quote;
Markiert von 27 Kindle-Nutzern
&quote;
Data in the queryable presentation area of the data warehouse must be dimensional, must be atomic, and must adhere to the data warehouse bus architecture. &quote;
Markiert von 21 Kindle-Nutzern
&quote;
A fact table is the primary table in a dimensional model where the numerical performance measurements of the business are stored, &quote;
Markiert von 20 Kindle-Nutzern

Kunden diskutieren

Das Forum zu diesem Produkt
Diskussion Antworten Jüngster Beitrag
Noch keine Diskussionen

Fragen stellen, Meinungen austauschen, Einblicke gewinnen
Neue Diskussion starten
Thema:
Erster Beitrag:
Eingabe des Log-ins
 


Aktive Diskussionen in ähnlichen Foren
Kundendiskussionen durchsuchen
Alle Amazon-Diskussionen durchsuchen
   
Ähnliche Foren


Kunden, die diesen Artikel markiert haben, haben auch Folgendes markiert


Ähnliche Artikel finden


Anhand des Sachgebietes nach ähnlichen Produkten suchen: