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 212
... Dimension Table We have seen that a key component of the STAR schema is the set of dimension tables . These dimension tables represent the business dimensions along which the metrics are an- alyzed . Let us look inside a dimension table ...
... Dimension Table We have seen that a key component of the STAR schema is the set of dimension tables . These dimension tables represent the business dimensions along which the metrics are an- alyzed . Let us look inside a dimension table ...
Page 214
... dimensions . Users will compose their queries using these descriptors . 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 ...
... dimensions . Users will compose their queries using these descriptors . 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 ...
Page 226
... DIMENSION TABLES Going back to Figure 10-4 of the previous chapter , you see the STAR schema for au- tomaker sales . The fact table Auto Sales contains the measurements or metrics such as Ac- tual Sale Price , Options Price , and so on ...
... DIMENSION TABLES Going back to Figure 10-4 of the previous chapter , you see the STAR schema for au- tomaker sales . The fact table Auto Sales contains the measurements or metrics such as Ac- tual Sale Price , Options Price , and so on ...
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