OLAP Solutions
Building Multidimensional Information Systems
Erik Thomsen(Author)
Wiley (Publisher)
Published on 28. March 1997
Book
Paperback/Softback
XXXII, 576 pages
978-0-471-14931-6 (ISBN)
Article exhausted; check for reprint
Description
OLAP (On-Line Analytical Processing) is an important data warehousing technology. OLAP is a growing area because it allows businesses to quickly analyze vast quantities of information to make strategic decisions. This text provides information on how best to implement and use multidimensional decision support systems as part of an overall data warehousing strategy. It explains in a clear and accurate manner: what OLAP is; the variety of OLAP tools available; how to select the tool best suited to an organization's particular needs; how to implement multidimensional OLAP solutions when creating new databases; and how to apply multidimensional concepts to existing databases. In addition, it outlines several actual case studies to illustrate how OLAP can solve specific problems frequently encountered by a variety of businesses and organizations.
More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
1 CD-ROM
Dimensions
Height: 23.5 cm
Width: 19 cm
Weight
1070 gr
ISBN-13
978-0-471-14931-6 (9780471149316)
Schweitzer Classification
Other editions
New editions

Book
04/2002
2nd Edition
Wiley
Unfortunately, price unknown
Article exhausted; check different version
Content
Partial table of contents:; THE NEED FOR MULTIDIMENSIONAL TECHNOLOGY; Functional Requirements of OLAP Systems; The Limitations of Spreadsheets and SQL; EXPLANATION OF MULTIDIMENSIONAL FEATURES AND CONCEPTS; Basic Multidimensional Features, Part 1; The Benefits of a Multidimensional Approach; Advanced Features, Part 1; Advanced Features, Part 2; HANDS-ON MULTIDIMENSIONAL CASE STUDIES; Practical Steps for Defining OLAP Models; Global Planning for Sales and Marketing; Portfolio Analysis; FURTHER ISSUES; Dimensional Modeling and Analysis; Towards a Logic-Grounded Model for OLAP; Comprehensive Guidelines; Appendices; Bibliography; Index.