Message from Dean - May 8th 2007
I am currently testing out a new version of the APF Bridge Component - If you notice any errors within this demo store please drop me a line.
List Price: $59.99Amazon.com's Price: $47.99 You Save: $12.00 (20%)Prices subject to change.
Availability: Usually ships in 24 hours
This item ships for FREE with Super Saver Shipping.
Binding: Hardcover
Dewey Decimal Number: 005.74
EAN: 9781590599310
ISBN: 1590599314
Label: Apress
Manufacturer: Apress
Number Of Items: 1
Number Of Pages: 523
Publication Date: December 21, 2007
Publisher: Apress
Studio: Apress
Alternate Versions: Click to Display
Related Items:
Browse for similar items by category:
Editorial Review:
Product Description:
Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The RDBMS used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later.
The book is organized as follows. In the beginning of this book (Chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in Chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in Chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly. After your application is in production, you need to understand how to administer data warehouse operation.
What you’ll learn - A detailed understanding of what it takes to build a data warehouse
- The implementation code in SQL Server to build the data warehouse
- Dimensional modeling, data extraction methods, data warehouse loading, populating dimension and fact tables, data quality, data warehouse architecture, and database design
- Practical data warehousing applications such as business intelligence reports, analytics applications, and customer relationship management
Who is this book for?
There are three audiences for the book. The first are the people who implement the data warehouse. This could be considered a field guide for them. The second is database users/admins who want to get a good understanding of what it would take to build a data warehouse. Finally, the third audience is managers who must make decisions about aspects of the data warehousing task before them and use the book to learn about these issues.
Average Rating: 
Rating:  -
A very hands-on book about implementing a Data Warehouse using Microsoft SQL Serveer 2005. In fact, it is a bit too hands-on in the sense that it guides you through all clicks and keystrokes but is rather thin and vague on general design principles.
The author has set out to write "a book containing all the essential subjects of building a data warehouse" (quote from the introduction). However, given the breadth of the material the author tries to cover (and given the sometimes annoyingly plentiful screenshots and SQL code) there is not enough room to give the necessary background and generalize the examples enough to be more useful than just that, examples.
For a much better attempt to cover both principles and a specific platform, a much better choice is The Microsoft Data Warehouse Toolkit (by Joy Mundy and Warren Thornthwaite), also covering SQL Server 2005.
For someone looking for just the practical part on how to use the Microsoft tools (SQL ... Read More
Rating:  -
I have read all the major DW books for sql server. All of them fall short in practicality. This book is deceivingly thin (500 some pages), but it covers all the practical side of building a data warehouse using SQL server 2005. The author's experience shows through his handling of many of the practical issues encountered in implementing data warehouse. This book has excellent coverage on ETL process, oftentimes list several alternatives that suited people from different background.
Rating: -
This book is a must read for anyone embarking on a Data Warehouse project or who wants to learn more about a particular aspect of Data Warehousing. The book guides the reader through the principles underpinning Data Warehousing, with easy to understand definitions. It gives detailed insight into the design, build & testing phases essential to any successful Data Warehousing project. It even covers reporting; including using the Data Warehouse for Business Intelligence and Customer Relationship Management. Throughout the book the author describes potential problems and gives techniques on how to overcome them.
There are tons of practical examples from an author who has a wealth of technical experience in this field.
This book is highly recommended.
Rating: -
This is a great book for folks who are hands-on and are not just looking for theoretical knowledge. Obviously this book was written by a doer who had many years of actual field experience. The book is full of extremely useful examples that can be followed step by step. It's also written in a way such that even data warehouse beginners wouldn't have difficulties following. The book covers all the basic premises of data warehousing as we know it today. There are some great topics talking about SOA, MDM and data warehouse integration.
I would definitely recommend the book to anyone looking to gain knowledge on data warehousing and SQL server data warehousing in particular.
Availability: Usually ships in 24 hours
|
Amazon Store 