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Super Charge Your Data Warehouse: Invaluable Data Modeling Rules to Implement Your Data Vault (Data Warehouse Architecture Book 1) (English Edition) von [Linstedt, Dan]

Super Charge Your Data Warehouse: Invaluable Data Modeling Rules to Implement Your Data Vault (Data Warehouse Architecture Book 1) (English Edition) Kindle Edition

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Länge: 126 Seiten Verbesserter Schriftsatz: Aktiviert PageFlip: Aktiviert
Sprache: Englisch
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Do You Know If Your Data Warehouse Flexible, Scalable, Secure and Will It Stand The Test Of Time And Avoid Being Part Of The Dreaded "Life Cycle"?

The Data Vault took the Data Warehouse world by storm when it was released in 2001. Some of the world's largest and most complex data warehouse situations understood the value it gave especially with the capabilities of unlimited scaling, flexibility and security.

Here is what industry leaders say about the Data Vault

"The Data Vault is the optimal choice for modeling the EDW in the DW 2.0 framework" - Bill Inmon, The Father of Data Warehousing

"The Data Vault is foundationally strong and an exceptionally scalable architecture" - Stephen Brobst, CTO, Teradata

"The Data Vault should be considered as a potential standard for RDBMS-based analytic data management by organizations looking to achieve a high degree of flexibility, performance and openness" - Doug Laney, Deloitte Analytics Institute

"I applaud Dan's contribution to the body of Business Intelligence and Data Warehousing knowledge and recommend this book be read by both data professionals and end users" - Howard Dresner, From the Foreword - Speaker, Author, Leading Research Analyst and Advisor

You have in your hands the work, experience and testing of 2 decades of building data warehouses. The Data Vault model and methodology has proven itself in hundreds (perhaps thousands) of solutions in Insurance, Crime-Fighting, Defense, Retail, Finance, Banking, Power, Energy, Education, High-Tech and many more.

Learn the techniques and implement them and learn how to build your Data Warehouse faster than you have ever done before while designing it to grow and scale no matter what you throw at it.

Ready to "Super Charge Your Data Warehouse"?

Über den Autor und weitere Mitwirkende

Dan Linstedt is a world-renowned expert in Data Warehousing and Business Intelligence. He has worked on Fortune 50 projects ranging in insurance to classified projects. He has 20+ years of experience in the IT industry, and has worked with companies like Nike, PepsiCo, Amex, and Visa. His experience extends through data modeling, process design to ETL/ELT performance and tuning. He has a background in SEI/CMMI Level 5, and has contributed architecture efforts to petabyte scale data warehouses. He is the author and inventor of the Data Vault Model and Methodology. The pattern based architecture helps you implement your Data Warehouse at the speed of light and the methodology helps you avoid mistakes while at the same time keeping your Data Warehouse audit friendly and ready. Data Warehouses designed any other way are doomed because of the dreaded "life cycle" but the Data Vault alleviates those fears. In a world of real-time data, parallelism, peta byte scalability, mergers and acquisitions, audit laws and everything else that has been thrown at Data Warehouses, the Data Vault has stood the test of time and proven to be capable of solving all these problems gracefully and quickly. This book is written for you, the practitioner - with a firm grasp on the Inmon and Kimball philosophies, you are well positioned to take the next step in improving your knowledge. This book will help you become a valuable Data Warehouse Expert.


  • Format: Kindle Edition
  • Dateigröße: 3928 KB
  • Seitenzahl der Print-Ausgabe: 126 Seiten
  • Gleichzeitige Verwendung von Geräten: Keine Einschränkung
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B00853265G
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Word Wise: Nicht aktiviert
  • Verbesserter Schriftsatz: Aktiviert
  • Durchschnittliche Kundenbewertung: 2.0 von 5 Sternen 2 Kundenrezensionen
  • Amazon Bestseller-Rang: #329.968 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

  •  Ist der Verkauf dieses Produkts für Sie nicht akzeptabel?


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Format: Kindle Edition Verifizierter Kauf
I've worked in DWH / ETL for over 15 years, I find the concepts of Data Vault quite interesting and I will try to use this on future projects.

Having said that: The Book in general I find not very well written. The Author seems very involved in this concept, basically because he seems to want to build his livelihood on his method, training and similar. The book therefore has lots of references to other books, which also seem to not be available at the time of this writing. I find it tedious to read that he is talking about subject a, but he can't really elaborate because that will be covered in a different book. Certain do's and don'ts he also keeps repeating to a degree that I find difficult to read, because of the repetitive nature and also repeated statements concerning breaking architecture will result in loss of core functionality and properties of the methodology. All that is fine and well, but it feels like someone talking to pre-schoolers, repeating over and over the same sentence. I would assume people purchasing a book like this want to learn and not be preached ...

Finally he also makes a lot of claims about technical facts like mathematically proven properties of the model, or how great it scales across parallel architectures, but neither claim is manifested anywhere in the book. No mathematical proves are actually demonstrated, and why the specific way of modelling data would be so much better for runnning parallel queries at DB level is also left for the reqder to figure out.

So as a whole you have a promising concept, which might be quite useful and has considerable potential to speed up DWH development and save during operations. However the book reads more like a mix of preaching with religious zeal and a very aggressive sales pitch.
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Kommentar 2 Personen fanden diese Informationen hilfreich. War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
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Format: Taschenbuch Verifizierter Kauf
I really value the data vault methodology before buying the book. If this book is to create enthusiasm and teach a person about Data Vault, I think it's way below the quality you can ask from such a leading product with this price tag. The book is thin, on cheap paper, with amateuristic images, inconsistency in the examples compared to the text and the order of the information is quite chaotic to me. I suggest to get a professional writer, editor, graphical artist and other assistance to make this book into the quality book it should be. Or lower the price considerably. This book leaves a lot of questions open for me regarding Data Vault, and it also raises new questions, because the examples are, or at least appear to be wrong (load DTS with or without time?).
Kommentar 4 Personen fanden diese Informationen hilfreich. War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
Vielen Dank für Ihr Feedback.
Wir konnten Ihre Stimmabgabe leider nicht speichern. Bitte erneut versuchen
Missbrauch melden

Die hilfreichsten Kundenrezensionen auf (beta) HASH(0x98b95090) von 5 Sternen 11 Rezensionen
7 von 7 Kunden fanden die folgende Rezension hilfreich
HASH(0x98aef2b8) von 5 Sternen I learned a lot, but not everything, about Data Vault 25. April 2012
Von Peter V - Veröffentlicht auf
Format: Taschenbuch
If you are new to Data Vault modeling, this book will teach you what a Data Vault looks like: the components, the basic modeling rules, why it is flexible and scalable. It explains concepts and architectual definitions and shows clear examples of several building blocks. However, after reading the book I am not ready to implement a Data Vault: the book raises almost as many questions as it has answered. It would have been nice if the book would have taken the reader step-by-step through modeling and implementation with consistent examples. I expected to have a complete guide to the Data Vault, but I ended up with a solid introduction.
6 von 6 Kunden fanden die folgende Rezension hilfreich
HASH(0x98af1870) von 5 Sternen Expensive must have 3. Dezember 2012
Von Fábio de Salles - Veröffentlicht auf
Format: Kindle Edition Verifizierter Kauf
In a couple of words, the book is a must buy because it is the only Kindle-ready good enough DV book.

The Good: The book is complete from a model standpoint. It addresses all the parts of the DV, delving into details of what works, what seems to work and what mistakes you should avert. Mr. Linstedt tries to prepare you first discussing a lot of concepts, jargon and Mathmatics points.

The Bad: The book is not very well written. My first review was mean beyond reasonable criticism to the overall writing of the book and I am editing it. As I read and read it over again I became more condescendent of his style (or lack of thereoff.) The bad writing does not impair the reading, albeit it does anoy the reader. Sometimes you're forced into imagining a person speaking the words aloud to try to convey some meanings. Mr. Linstedt really knows his business and I totally happy with the book.

The Ugly: the book seems to have been converted to Kindle format on a hurry, and is not worth of its price. It would be right about the thirty buckets, so so. Very lowres images, lots of greys - ugly ugly ugly!!!

The final word: buy it if you need to learn DV in its completeness. None of its shortcommings can prevent you from learning what valuable lessons it has to teach you. However, if you are not sure about it, you might go for Pentaho Kettle Solutions first. There is an appendix much more well written on DV, with good practical example (but very far from completed compared to Supercharger here.) In fact, there was the first place I learned about it and I got increased frustrated no being able to find good DV information online (everything seem to be covered by a veil of cold fusion copyrighted secrecy.) Should Mr. Linstedt have wrote a book on the lines of that appendix, it would be worth a hundred buck!

Data Vault rocks and I am learning a lot of new and interesting things on DV. Coupled with the Kettle Solutions appendix, I am confident enough to try it.

Please, Mr. Linsted, remake the book. It is a fine job and you have unvaluable knowledge to any enterprise in need of DW.
5 von 5 Kunden fanden die folgende Rezension hilfreich
HASH(0x989dad50) von 5 Sternen Missing and/or illegible illustrations 10. November 2012
Von Amazon Customer - Veröffentlicht auf
Format: Kindle Edition Verifizierter Kauf
The contents are good - the illustrations are very hard to see/read in the e-book version. Illustration 5-16 is totally missing.

I believe a bit more work should have been put into proof reading this e-book.
4 von 4 Kunden fanden die folgende Rezension hilfreich
HASH(0x98aef300) von 5 Sternen Great Introduction 7. Mai 2012
Von Alex Meadows - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
This book covers everything a beginner to data vault architecture needs to get started. It explains the functionality of each of the table types (hub for business entities, link for business relationships, satellite for detailed information about the hubs and links). It also goes into some examples showing the many different applications of data vault (like metrics monitoring or metadata repository). Super Charge Your Data Warehouse goes over the technical aspects of the architecture, but receives four stars instead of five because I would like to have seen more detail on implementation.

If you are new to data vault architecture or like having a handy reference, I highly recommend Super Charge Your Data Warehouse.
HASH(0x98af18d0) von 5 Sternen Someone on your BI team better know this stuff! 17. April 2014
Von Roger Cogswell - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
Excellent insights into issues faced by data delivery teams charged with satisfying the information desires of any enterprise. The approach is understandable and workable in the largest and most dynamic environments. Every data scientist/modeler/developer ought to be aware of this material and the issues for which it presents elegant and simple solutions.
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