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 20
... specific applications to perform the specific functions efficiently . Therefore , the data sets for each application need to be organized around that specific application . In striking contrast , in the data warehouse , data is stored ...
... specific applications to perform the specific functions efficiently . Therefore , the data sets for each application need to be organized around that specific application . In striking contrast , in the data warehouse , data is stored ...
Page 23
... specific time element . Depending on the level of the details in the data warehouse , the sales quantity in a record may relate to a specific date , week , month , or quarter . The time - variant nature of the data in a data warehouse ...
... specific time element . Depending on the level of the details in the data warehouse , the sales quantity in a record may relate to a specific date , week , month , or quarter . The time - variant nature of the data in a data warehouse ...
Page 215
... specific customer , and procured by a specific sales representative . If we keep the quantity ordered as the quantity of a specific product for each month , then the data grain is different and is at a higher level . Fully Additive ...
... specific customer , and procured by a specific sales representative . If we keep the quantity ordered as the quantity of a specific product for each month , then the data grain is different and is at a higher level . Fully Additive ...
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