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 97
... metrics are different . The nature of the metrics depends on what is being analyzed . For hotel occupancy , the metrics would therefore relate to the occupancy of rooms in each branch of the hotel chain . Here is a list of metrics for ...
... metrics are different . The nature of the metrics depends on what is being analyzed . For hotel occupancy , the metrics would therefore relate to the occupancy of rooms in each branch of the hotel chain . Here is a list of metrics for ...
Page 205
... metrics that the automaker wants to use for analysis . Next , look at the column headings . These are the business dimensions along which the automaker wants to analyze the measurements or metrics . Under each column heading you see the ...
... metrics that the automaker wants to use for analysis . Next , look at the column headings . These are the business dimensions along which the automaker wants to analyze the measurements or metrics . Under each column heading you see the ...
Page 357
... metrics as well . Assume that the metrics to be analyzed are fixed cost , variable cost , indirect sales , direct sales , and profit margin . These are five common metrics . The data described here may be displayed on a spreadsheet ...
... metrics as well . Assume that the metrics to be analyzed are fixed cost , variable cost , indirect sales , direct sales , and profit margin . These are five common metrics . The data described here may be displayed on a spreadsheet ...
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