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 205
... represent the information contained in the automaker sales information package , we need to come with data structures to represent these three types of data entities . Let us discuss how we can do this . up First , let us work with the ...
... represent the information contained in the automaker sales information package , we need to come with data structures to represent these three types of data entities . Let us discuss how we can do this . up First , let us work with the ...
Page 357
... represent the two business dimensions and the third , the metrics . You can inde- pendently move up or down along ... represent these four groups as edges of a three - dimensional cube ? How do you represent a four - di- mensional model ...
... represent the two business dimensions and the third , the metrics . You can inde- pendently move up or down along ... represent these four groups as edges of a three - dimensional cube ? How do you represent a four - di- mensional model ...
Page 362
... represent the various products , the rows represent the months , and the pages represent the stores . At this point , if you want to roll up to the next higher level of subcategory , how will the display in Figure 15-6 change ? The ...
... represent the various products , the rows represent the months , and the pages represent the stores . At this point , if you want to roll up to the next higher level of subcategory , how will the display in Figure 15-6 change ? The ...
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