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Professional SQL Server 2000 Data Warehousing with Analysis Services

Professional SQL Server 2000 Data Warehousing with Analysis ServicesAuthors: Chris Graves, Mark Scott, Mike Benkovich, Paul Turley, Robert Skoglund, Robin Dewson, Sakhr Youness, Denny Lee, Sam Ferguson, Tony Bain, Terrence Joubert
Publisher: Peer Information Inc.
Category: Book

List Price: $59.99
Buy New: $40.00
as of 2/7/2012 12:15 EST details
You Save: $19.99 (33%)



New (6) Used (14) from $0.01

Seller: _Mary
Sales Rank: 3362850

Format: Illustrated
Languages: English (Unknown), English (Original Language), English (Published)
Media: Paperback
Edition: 1st
Pages: 800
Number Of Items: 1
Shipping Weight (lbs): 2.4
Dimensions (in): 9 x 7.3 x 1.5

ISBN: 1861005407
EAN: 9781861005403
ASIN: 1861005407

Publication Date: October 2001
Availability: Usually ships in 1-2 business days

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Product Description
Data warehouses have evolved to cope with the huge volumes of data flowing through the workplace by separating the data used for reporting and decision making from the operational systems. The purpose of the data warehouse is simply to store the raw data, and in combination with Microsoft SQL Server 2000 Analysis Services, this data can be transformed into accessible information that reflects the real factors affecting the enterprise.

In this book, we introduce the key concepts of data warehousing, OLAP, and data mining. In addition to coverage of Data Transformation Services (DTS) and MDX, this book also demonstrates how to develop an Analysis Services client application, and how to secure and optimize your data warehouse. There is also an in-depth discussion of the exciting new topic of Web Housing.

By reading this book, you will learn how best to employ data warehousing and OLAP in your business, and how to leverage it to provide your organization with improved revenue and profitability.

This book covers:

Understanding Analysis Services Architecture
Designing Data Warehouses and Data Marts
Using Data Transformation Services (DTS) in Data Warehousing
Techniques for Data Mining and Analysis
Building OLAP cubes with Analysis Manager, and programmatically through DSO
Securing, Administrating and Optimizing a Data Warehouse and OLAP system
Using Multidimensional Expressions (MDX) to query OLAP cubes
Building OLAP client applications with Visual Basic and ASP
English Query, PivotTable Service


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