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 111
... data model for your first set of data marts . On the other hand , your company may decide to build the large corporate - wide data warehouse first along with the initial data mart fed by the large data warehouse . In this case , your data ...
... data model for your first set of data marts . On the other hand , your company may decide to build the large corporate - wide data warehouse first along with the initial data mart fed by the large data warehouse . In this case , your data ...
Page 112
... data model will not signify what the users really want to see in the data warehouse . Structure for Business ... model for this data mart , the business dimensions as shown in the figure must necessarily be included in the model ...
... data model will not signify what the users really want to see in the data warehouse . Structure for Business ... model for this data mart , the business dimensions as shown in the figure must necessarily be included in the model ...
Page 113
... data model . The structure of the data model is directly related to the number of business di- mensions . The data content of each business dimension forms part of the data model . For example , if an information package diagram has ...
... data model . The structure of the data model is directly related to the number of business di- mensions . The data content of each business dimension forms part of the data model . For example , if an information package diagram has ...
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