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Building a Data Warehouse: With Examples in SQL Server

โœ Scribed by Vincent Rainardi (auth.)


Publisher
Apress
Year
2008
Tongue
English
Leaves
525
Edition
1
Category
Library

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โœฆ Synopsis


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.

โœฆ Table of Contents


Front Matter....Pages i-xvi
Introduction to Data Warehousing....Pages 1-27
Data Warehouse Architecture....Pages 29-47
Data Warehouse Development Methodology....Pages 49-59
Functional and Nonfunctional Requirements....Pages 61-70
Data Modeling....Pages 71-111
Physical Database Design....Pages 113-171
Data Extraction....Pages 173-214
Populating the Data Warehouse....Pages 215-271
Assuring Data Quality....Pages 273-300
Metadata....Pages 301-327
Building Reports....Pages 329-375
Multidimensional Database....Pages 377-409
Using Data Warehouse for Business Intelligence....Pages 411-440
Using Data Warehouse for Customer Relationship Management....Pages 441-466
Other Data Warehouse Usage....Pages 467-476
Testing Your Data Warehouse....Pages 477-489
Data Warehouse Administration....Pages 491-504
Back Matter....Pages 505-523

โœฆ Subjects


Data Storage Representation


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