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
Results 1-3 of 72
Page 214
... Attributes not directly related . Frequently you will find that some of the attributes in a dimension table are not directly related to the other attributes in the table . For ex- ample , package size is not directly related to product ...
... Attributes not directly related . Frequently you will find that some of the attributes in a dimension table are not directly related to the other attributes in the table . For ex- ample , package size is not directly related to product ...
Page 216
... attributes than a dimen- sion table . Usually , there are about 10 attributes or less . But the number of records in a fact table is very large in comparison . Take a very simplistic example of 3 prod- ucts , 5 customers , 30 days , and ...
... attributes than a dimen- sion table . Usually , there are about 10 attributes or less . But the number of records in a fact table is very large in comparison . Take a very simplistic example of 3 prod- ucts , 5 customers , 30 days , and ...
Page 232
... attributes . In either case , you may declare the dimension as large . There are special considerations for large ... attributes • Can have multiple hierarchies Product • Sometimes as many as 100,000 product variations • Can have more ...
... attributes . In either case , you may declare the dimension as large . There are special considerations for large ... attributes • Can have multiple hierarchies Product • Sometimes as many as 100,000 product variations • Can have more ...
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