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 128
... Major Areas As you already know , the three major areas in the data warehouse are : • Data acquisition • Data storage • Information delivery In Chapter 2 , we identified the following major building blocks of the data warehouse ...
... Major Areas As you already know , the three major areas in the data warehouse are : • Data acquisition • Data storage • Information delivery In Chapter 2 , we identified the following major building blocks of the data warehouse ...
Page 353
... major features and functions of OLAP systems . You will gain greater insight into dimensional analysis , find deeper mean- ings about the ... MAJOR FEATURES AND FUNCTIONS 353 Major Features and Functions General Features Dimensional Analysis.
... major features and functions of OLAP systems . You will gain greater insight into dimensional analysis , find deeper mean- ings about the ... MAJOR FEATURES AND FUNCTIONS 353 Major Features and Functions General Features Dimensional Analysis.
Page 409
... major area in business where data mining is actively used now . We will devote the rest of this section to discussing the highlights of the major functions , the processes used to carry out the functions , and the data mining techniques ...
... major area in business where data mining is actively used now . We will devote the rest of this section to discussing the highlights of the major functions , the processes used to carry out the functions , and the data mining techniques ...
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