Data Warehousing Fundamentals: A Comprehensive Guide for IT ProfessionalsGeared to IT professionals eager to get into the all-important field of data warehousing, this book explores all topics needed by those who design and implement data warehouses. Readers will learn about planning requirements, architecture, infrastructure, data preparation, information delivery, implementation, and maintenance. They'll also find a wealth of industry examples garnered from the author's 25 years of experience in designing and implementing databases and data warehouse applications for major corporations. Market: IT Professionals, Consultants. |
From inside the book
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Page 91
... dimensions . kinds of questions managers are likely to ask for decision ... business di- mensions along which she wants to analyze her numbers ... dimensional because PRODUCT GEOGRAPHY TV Set Boston June Slices of product sales DIMENSIONAL ...
... dimensions . kinds of questions managers are likely to ask for decision ... business di- mensions along which she wants to analyze her numbers ... dimensional because PRODUCT GEOGRAPHY TV Set Boston June Slices of product sales DIMENSIONAL ...
Page 92
... Dimensional nature of business data . July Chicago there are just three dimensions used in this analysis . If there are more than three dimen- sions , we extend the concept to multiple dimensions and visualize multidimensional cubes ...
... Dimensional nature of business data . July Chicago there are just three dimensions used in this analysis . If there are more than three dimen- sions , we extend the concept to multiple dimensions and visualize multidimensional cubes ...
Page 95
... Business Dimensions As we have seen , business dimensions form the underlying basis of the new methodology for requirements definition . Data must be stored to provide for the business dimensions . The business dimensions and their ...
... Business Dimensions As we have seen , business dimensions form the underlying basis of the new methodology for requirements definition . Data must be stored to provide for the business dimensions . The business dimensions and their ...
Contents
The Compelling Need for Data Warehousing | 1 |
The Building Blocks | 19 |
Review Questions | 37 |
Copyright | |
26 other sections not shown
Other editions - View all
Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals Paulraj Ponniah Limited preview - 2004 |
Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals Paulraj Ponniah No preview available - 2004 |
Common terms and phrases
aggregate algorithms analysis applications architecture attributes backup business dimensions changes cluster columns complex components create data cleansing data elements data extraction data loading data marts data mining data model data quality data sources data staging data structures data transformation data warehouse environment data warehouse project data warehousing database DBMS decision deployment dimension table dimensional model end-users example fact table Figure files functions incremental loads information delivery integrated interface marketing MDDB methods metrics MOLAP multidimensional OLAP system OLTP online analytical processing operational systems options package diagram performance physical model pilot platform primary key product dimension programs project team queries and reports records relational ROLAP selection server source data source systems specific staging area standards STAR schema strategic information summary techniques tion types usage users values vendors ware Web-enabled data warehouse