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 23
... data warehouse . This aspect of the data ware- house is quite significant for both the design and the implementation phases . For example ... data in the data warehouse is not updated DEFINING FEATURES 23 Nonvolatile Data Data Granularity.
... data warehouse . This aspect of the data ware- house is quite significant for both the design and the implementation phases . For example ... data in the data warehouse is not updated DEFINING FEATURES 23 Nonvolatile Data Data Granularity.
Page 176
... data warehouse . They need metadata . In our operational systems , however , we do not really have any easy and ... data dictionary or catalog is meant for IT uses only . The situation for a data warehouse is totally different . Your ...
... data warehouse . They need metadata . In our operational systems , however , we do not really have any easy and ... data dictionary or catalog is meant for IT uses only . The situation for a data warehouse is totally different . Your ...
Page 396
... data warehousing are converging to produce dramatic results . • A Web - enabled data warehouse adapts the Web for information delivery and collab- oration among the users . • Adapting the data warehouse to the Web means including ...
... data warehousing are converging to produce dramatic results . • A Web - enabled data warehouse adapts the Web for information delivery and collab- oration among the users . • Adapting the data warehouse to the Web means including ...
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