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 119
... relational model supported by a relational database management system ( RDBMS ) . The data marts are usually structured on the dimensional model implemented using an RDBMS . Many ven- dors offer proprietary multidimensional database ...
... relational model supported by a relational database management system ( RDBMS ) . The data marts are usually structured on the dimensional model implemented using an RDBMS . Many ven- dors offer proprietary multidimensional database ...
Page 366
... relational tables . Additional metadata supports summarizations and aggregations . You may store the meta- data in relational databases . Now see Figure 15-17 . This figure shows the architecture of the ROLAP model . What you see is a ...
... relational tables . Additional metadata supports summarizations and aggregations . You may store the meta- data in relational databases . Now see Figure 15-17 . This figure shows the architecture of the ROLAP model . What you see is a ...
Page 508
... Relational Online Analytical Processing . An analytical processing technique in which multidimensional data cubes are created on the fly by the relational database engine . Roll - up . Method of analysis for retrieving higher levels of ...
... Relational Online Analytical Processing . An analytical processing technique in which multidimensional data cubes are created on the fly by the relational database engine . Roll - up . Method of analysis for retrieving higher levels of ...
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