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 36
... End - User Metadata Operational Metadata . As you know , data for the data ... users , you must be able to tie that back to the original source data sets ... End - User Metadata . The end - user metadata is the navigational map of the ...
... End - User Metadata Operational Metadata . As you know , data for the data ... users , you must be able to tie that back to the original source data sets ... End - User Metadata . The end - user metadata is the navigational map of the ...
Page 181
... END - USERS Source data structures Source platforms Data extraction methods External data Data transformation rules ... end , tools em- power the users to browse the data content and gain access to the data warehouse . These tools ...
... END - USERS Source data structures Source platforms Data extraction methods External data Data transformation rules ... end , tools em- power the users to browse the data content and gain access to the data warehouse . These tools ...
Page 194
... end - users . Metadata from the data models of the source systems must be integrated with metadata from the data models of the data warehouse databases . The integration must continue further to the front - end tools used by the end ...
... end - users . Metadata from the data models of the source systems must be integrated with metadata from the data models of the data warehouse databases . The integration must continue further to the front - end tools used by the end ...
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