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Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy
"A unique and authoritative book that blends recent research developments with industry-level practices for researchers, students, and industry practitioners." Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University
- Sales Rank: #1192113 in Books
- Published on: 2009-06-16
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x .92" w x 7.40" l, 1.70 pounds
- Binding: Paperback
- 480 pages
From the Back Cover
Plan, Design, and Document High-Performance Data Warehouses
Set up a reliable, secure decision-support infrastructure using the cuttingedge techniques contained in this comprehensive volume. Data Warehouse Design: Modern Principles and Methodologies presents a practical design approach based on solid software engineering principles. Find out how to interview end users, construct expressive conceptual schemata and translate them into relational schemata, and design state-of-the-art ETL procedures. You will also learn how to integrate heterogeneous data sources, implement star and snowflake schemata, manage dynamic and irregular hierarchies, and fine-tune performance by materializing and fragmenting views.
- Work with data- and requirement-driven methodological approaches
- Create a reconciled database to boost data mart architecture
- Capture and expressively represent end-user requirements
- Build a conceptual data mart schema using the Dimensional Fact Model
- Estimate data mart volume and workload
- Improve performance using advanced logical modeling techniques
- Extract, transform, cleanse, and load data from operational sources
- Use sophisticated indexing techniques to optimize query execution plans
- Comprehensively document data warehouse projects
- Discover innovative business intelligence techniques
About the Author
Matteo Golfarelli is an associate professor of Computer Science and Technology at the University of Bologna, Italy, where he teaches courses in information systems, databases, and data mining.
Stefano Rizzi is a full professor of Computer Science and Technology at the University of Bologna, Italy, where he teaches courses in advanced information systems and software engineering.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Insomnia Cure...terribly dense and obtuse!
By PM Finn
I'm using this book for a graduate course as a student. I've worked in field of IT for 25+ years, so I'm no newbie. This book takes topics that are straightforward and makes them extremely complex and theoretical. The liner notes indicate it was translated into English, which would explain some of the awkward phrasing. You'll read a passage, re-read it again and if you do figure out what they are saying you are left to wonder, "why would you say it that way?" Answer, because it was translated! Strange wording, run on sentences, overly theoretical...can you tell I don't like this book!
Other reviewer was correct that it reads like a run -on journal article, replete with citations and examples...most of which do not help.
Avoid it if you can, but if you must use it, find other sources to help explain the concepts and take comfort in fact that in the real world of IT, it's not this hard! If you are new to the field, hang in there, don't let this book scare you off!
1 of 2 people found the following review helpful.
I would not recommend using this text.
By V. M.
I am using this textbook for a class this semester. This text is not reader friendly. Just because the topic is complex does not have to mean the book as to be hard to consume. This book is horribly dense. The images of models are seldom explained. My class hates this book. The book reads like journal articles pasted together to get enough information for a book and I sincerely regret the purchase. You will find yourself reading the same sentence over and over again with still little understanding of the intent of the author. The book throws around terms that it assumes the reader should be familiar with...but then if you were familiar with the terms, you wouldn't need their book. It is a really awful book. I will keep looking. If you were unfortunate enough to pick up this book because your teacher was looking for a text on data warehousing, you have my sympathies. Here are some tips. 1) Use other sources of information to supplement the text. The text alone is useless. 2) Read it early in the morning. The book is really capable of putting you to sleep at any time after 12Noon. 3) Find a data warehousing guru to decipher the examples. Put him on speed dial though. You'll need him after every page. For educators, there are no author's resources except a hard to find manual. You are on your own. You have been warned.
0 of 0 people found the following review helpful.
I agree with most ratings here, I found myself ...
By nhat pham
I agree with most ratings here, I found myself having to google most concepts described in this book. Extremely unclear especially for a introductory book on DB mgmt.
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