Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals, Volume 1Geared 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 47
Page 70
... OLTP systems . A comparison with an OLTP application project will help us recognize the differences . Try to describe a data warehouse in terms of major functional pieces . First you have the data acquisition component . Next is the ...
... OLTP systems . A comparison with an OLTP application project will help us recognize the differences . Try to describe a data warehouse in terms of major functional pieces . First you have the data acquisition component . Next is the ...
Page 209
... OLTP systems and shows why E - R modeling is suitable for OLTP systems . We have so far discussed the basics of the dimensional model and find that this model is most suitable for modeling the data for the data warehouse . Let us ...
... OLTP systems and shows why E - R modeling is suitable for OLTP systems . We have so far discussed the basics of the dimensional model and find that this model is most suitable for modeling the data for the data warehouse . Let us ...
Page 470
... OLTP systems . Some of you , as database administrators , must have been responsible for setting up the backups and proba- bly been involved in one or two disaster recoveries . In an OLTP mission - critical system , loss of data and ...
... OLTP systems . Some of you , as database administrators , must have been responsible for setting up the backups and proba- bly been involved in one or two disaster recoveries . In an OLTP mission - critical system , loss of data and ...
Contents
The Compelling Need for Data Warehousing | 1 |
The Building Blocks | 19 |
Review Questions | 37 |
Copyright | |
25 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