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 83
Page 264
... value of an attribute represents the value of the attribute at this moment of time . The values are transient or transitory . As business transactions happen , the values change . There is no way to predict how long the present value ...
... value of an attribute represents the value of the attribute at this moment of time . The values are transient or transitory . As business transactions happen , the values change . There is no way to predict how long the present value ...
Page 294
... value of an attribute falls in the range of allowable , de- fined values . The common example is the allowable values being " male ” and “ fe- male " for the gender data element . Data Type . Value for a data attribute is actually ...
... value of an attribute falls in the range of allowable , de- fined values . The common example is the allowable values being " male ” and “ fe- male " for the gender data element . Data Type . Value for a data attribute is actually ...
Page 304
... values The DBMS for Quality Control The database management system itself is used as a tool for data qualtiy control ... values are not entered . Also prevent duplicates based on values of other attributes . Minimize missing values ...
... values The DBMS for Quality Control The database management system itself is used as a tool for data qualtiy control ... values are not entered . Also prevent duplicates based on values of other attributes . Minimize missing values ...
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