Building a Data Warehouse
With Examples in SQL Server
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45 385 Ft (43 223 Ft + 5% VAT)
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45 385 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number First Edition
- Publisher Apress
- Date of Publication 7 January 2008
- Number of Volumes 1 pieces, Book
- ISBN 9781590599310
- Binding Hardback
- No. of pages523 pages
- Size 235x178 mm
- Weight 1198 g
- Language English
- Illustrations XVI, 523 p. 0
Categories
Short description:
Here is the ideal field guide for data warehousing implementation. It describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Includes code that will save companies hundreds of hours of development time.
Long 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 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.
MoreTable of Contents:
to Data Warehousing.- Data Warehouse Architecture.- Data Warehouse Development Methodology.- Functional and Nonfunctional Requirements.- Data Modeling.- Physical Database Design.- Data Extraction.- Populating the Data Warehouse.- Assuring Data Quality.- Metadata.- Building Reports.- Multidimensional Database.- Using Data Warehouse for Business Intelligence.- Using Data Warehouse for Customer Relationship Management.- Other Data Warehouse Usage.- Testing Your Data Warehouse.- Data Warehouse Administration.
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