Building a Data Warehouse: With Examples in SQL Server / Edition 1

Building a Data Warehouse: With Examples in SQL Server / Edition 1

5.0 3
by Vincent Rainardi
     
 

ISBN-10: 1590599314

ISBN-13: 9781590599310

Pub. Date: 12/26/2007

Publisher: Apress

Now available in paperback—

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

…  See more details below

Overview

Now available in paperback—

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 relational database management system (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 this book is 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.

Read More

Product Details

ISBN-13:
9781590599310
Publisher:
Apress
Publication date:
12/26/2007
Series:
Expert's Voice Series
Edition description:
2008
Pages:
523
Product dimensions:
7.00(w) x 9.25(h) x 1.19(d)

Table of Contents

A table of contents is not available for this title.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >

Building a Data Warehouse: With Examples in SQL Server 5 out of 5 based on 0 ratings. 3 reviews.
Anonymous More than 1 year ago
Mr. Rainardi's book is highly recommended. It's not a survey of DW methods. It's a soup-to-nuts discourse on building one of the DW variations using a real-life project. It's in-depth, but dense reading.
Guest More than 1 year ago
As promised by the Author , this book helps you to build a Data Warehouse in SQL Server 2005, from scratch. Various important topics like Data Extraction ,Data Modeling and Data Quality are explained well in a very lucid language, backed by a good case study. By providing solutions to various potential problems during data extraction , the author touches upon the practical aspect of building a data warehouse. Topics on Data Warehouse architecture and Data Extraction are covered in depth. By introducing the topic of Rational Unified Processes, the author tries to explain how to build a Data Warehouse using multiple iterations. This is a welcome sign. I found the chapter on building reports using SQL SERVER 2005 Reporting Services very helpful. A more of an hands on book, with a sufficient therotical explanation, I felt ecstatic reading the book. I would definetely recommend this book , for any person who plans to attain knowledge or build a Data Ware house using SQL SERVER 2005.
Guest More than 1 year ago
This book was obviously written by a 'doer' and not just from an educators perspective. I find it great for acquiring new knowledge as well as an excellent resource for reference. I could see individuals using this book as a tutorial for acquiring 'soup to nuts' data warehouse knowledge.