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 92
... Examples of Business Dimensions The concept of business dimensions is fundamental to the requirements definition for a ... example analyzing shipments for a manufacturing company show some other business dimensions . In this case , the ...
... Examples of Business Dimensions The concept of business dimensions is fundamental to the requirements definition for a ... example analyzing shipments for a manufacturing company show some other business dimensions . In this case , the ...
Page 216
... example of 3 prod- ucts , 5 customers , 30 days , and 10 sales representatives represented as rows in the dimension tables . Even in this example , the number of fact table rows will be 4500 , very large in comparison with the dimension ...
... example of 3 prod- ucts , 5 customers , 30 days , and 10 sales representatives represented as rows in the dimension tables . Even in this example , the number of fact table rows will be 4500 , very large in comparison with the dimension ...
Page 274
... example , information about a product may come from different data sources . The product code and description may come from one data source . The relevant package types may be found in another data source . The cost data may be from yet ...
... example , information about a product may come from different data sources . The product code and description may come from one data source . The relevant package types may be found in another data source . The cost data may be from yet ...
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