Download Ebook The Data Warehouse Lifecycle Toolkit, 2nd Edition
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The Data Warehouse Lifecycle Toolkit, 2nd Edition
Download Ebook The Data Warehouse Lifecycle Toolkit, 2nd Edition
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Review
(...) Das Buch richtet sich primdr an Designer und Informations-Manager im Umfeld von Data-Warehouse-Anwendungen. Diese Zielgruppe erhdlt Ratschldge und Handlungsanleitungen, um deren Anforderungen optimal zu bewdltigen. Dabei ist der ganzheitliche Ansatz zu betonen, der eine evolutiondre Weiterentwicklung besser als singuldre Schnellsch]sse unterst]tzen kann. auch der zugrundeliegende Architekturcharakter trdgt zur Festigung dieser Intension bei. Zu knapp werden die Themen Data Mining und Parallelverarbeitung angesprochen; ebenfalls fehlen zur Vertiefung weiterf]hrende Literaturhinweise. Insbesondere SMP und MPP bieten f]r die praktische Realisierung wichtige Unterst]tzungshilfen. Wobei zur Verbesserung der Performance die Fdhigkeit einiger DBMS Abfragen zu optimieren und parallel zu verarbeiten n]tzlich ist. IT-Director 10/2000
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From the Back Cover
A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business. Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW/BI system. You'll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions. With substantial new and updated content, this second edition of The Data Warehouse Lifecycle Toolkit again sets the standard in data warehousing for the next decade. It shows you how to: Identify and prioritize data warehouse opportunities Create an architecture plan and select products Design a powerful, flexible, dimensional model Build a robust ETL system Develop BI applications to deliver data to business users Deploy and sustain a healthy DW/BI environment The authors are members of the Kimball Group. Each has focused on data warehousing and business intelligence consulting and education for more than 15 years; most have written other books in the Toolkit series. Learn more about the Kimball Group and Kimball University at www.kimballgroup.com. Wiley Technology Publishing Timely. Practical. Reliable. Visit the book's companion website at www.wiley.com/compbooks/kimball Find templates, sample documents, checklists, and task lists on the book's companion website at www.kimballgroup.com
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Product details
Paperback: 672 pages
Publisher: Wiley; 2 edition (January 10, 2008)
Language: English
ISBN-10: 9780470149775
ISBN-13: 978-0470149775
ASIN: 0470149779
Product Dimensions:
7.2 x 1.4 x 9.2 inches
Shipping Weight: 2.2 pounds (View shipping rates and policies)
Average Customer Review:
4.5 out of 5 stars
75 customer reviews
Amazon Best Sellers Rank:
#275,459 in Books (See Top 100 in Books)
Very well written. I had to get 2nd Edition to match the classwork syllabus but I'm sure 3rd Edition is just as good.Our class lectures would cover the material pretty well but leave a lot of questions. I'd then read the matching chapters and it would walk me right thru it.One thing; a DW concepts in general seem "Ivory Tower" that wouldn't survive the real world, but then , I'm just learning this stuff so I could be wrong about that. Rather; I wonder how much they still apply. For example; he states it takes 6 months to build a "Data Mart", and add 6 months for each additional data source. So with 40 data marts in a typical enterprise, we're talking 10 years! 20 years if there are 2 data sources in the enterprise. That simply doesn't add up. Somehow I think the industry would have to move quicker than that, but at least he lays out the methods.
I took Kimball's class on the data warehouse lifecycle a few years ago. Recently as I was reviewing some of the problems our organization is wrestling with in building our data warehouse, I went back to the book which is now some 4 years old... but the fundamentals are all there and really they haven't changed much. This is the "bible" I use, and many DW/BI professionals would say the same. If you want to understand the ecosystem for a sound DW/BI solution, this is where you go. There are many other great books that add to it, but start here.
This book covers the complete life cycle including project management, requirements definition, technical architecture design, dimensional modeling, physical design, data staging, and finally deployment and maintenance. I think his approach to planning is a good one, and I am fighting to find the necessary business sponsor and a clear business motivation. Their approach to interviewing key players is a good way to collect requirements.The importance of conformed dimensions and building a data warehouse bus architecture matrix is a great exercise. Some of the controversy with respect to his advocacy of denormalizing has to do with how "pure" your warehouse is. For example if I am merely providing analysis of production data or querying vertically across data marts, I would retain the data in normalized E/R, but present a more dimensional view to end users. I appreciated the discussion on back room versus front room metadata and using active metadata to drive operations. I was disappointed with the lack of discussion of warehouse testing with only a few pages on data quality and cleansing during data staging, and just one paragraph on balancing between the warehouse and production data. This book is very useful, and the accompanying CD will save time creating your own project documents.
The book is worth it just for the project management tools and checklists/templates. Especially the Lifecycle Project Plan and all related templates on the CD-ROM. I felt that alone justified the purchase. I needed some ideas for an ERP, 21 CFR Part 11 Electronic Recrods/Electronic Signatures, implementation and verification/validation project, and some of the more strategic discussions and templates in the book provided some additional ideas and tools to structure my project (w/ modification, of course). So those interested in something more than data warehousing may still find this publication extremely useful as I did.
A VERY good book on data warehousing. It is quite a heavy read, it is stated to have cca. 500 pages but on my Kindle DX it looked more like 1500 pages. It took me a while to get through it and I read it from cover to cover but it is definitely worth it.The writing style of the authors is quite accessible so you would learn a lot even without much previous experience in this domain.
Good book. Many reverse way of thinking, to give you warring what could be wrong.
This book is the bible for many IT professionals involved in Data Warehouse management or IT project management. This information is as current and good today as is was when the first edition was written in 2008. That's says a lot for a field that is constantly being updated due to technology. The basics still matter. This and Ralph Kimball's other books should be on every IT professional's desk.
Great quality! Thanks
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