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 138
... Create files as input to make changes to dimension tables • If data staging storage is a relational database , create and populate database • Preserve audit trail to relate each data item in the data warehouse to input source • Resolve ...
... Create files as input to make changes to dimension tables • If data staging storage is a relational database , create and populate database • Preserve audit trail to relate each data item in the data warehouse to input source • Resolve ...
Page 175
... Create Date : January 15 , 1999 Last Update Date : Update Cycle : Last Full Refresh Date : January 21 , 2001 Weekly ... create the screen formats or lay out the reports every time they need information . In marked contrast , users ...
... Create Date : January 15 , 1999 Last Update Date : Update Cycle : Last Full Refresh Date : January 21 , 2001 Weekly ... create the screen formats or lay out the reports every time they need information . In marked contrast , users ...
Page 448
... create indexes for the fact tables : If the DBMS does not create an index on the primary key , deliberately create a B- Tree index on the full primary key . • Carefully design the order of individual key elements in the full ...
... create indexes for the fact tables : If the DBMS does not create an index on the primary key , deliberately create a B- Tree index on the full primary key . • Carefully design the order of individual key elements in the full ...
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