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
Results 1-3 of 78
Page 129
... considering an architecture for each system ? Although the term architecture is not usually mentioned in the context ... consider architecture in such elaborate detail ? Data warehouse architecture is wide , complex , and expansive . In ...
... considering an architecture for each system ? Although the term architecture is not usually mentioned in the context ... consider architecture in such elaborate detail ? Data warehouse architecture is wide , complex , and expansive . In ...
Page 130
... consider for defining the scope ? There are several sets of factors to consider . First , you must consider the number and extent of the data sources . How many legacy systems are you going to extract the data from ? What are the ...
... consider for defining the scope ? There are several sets of factors to consider . First , you must consider the number and extent of the data sources . How many legacy systems are you going to extract the data from ? What are the ...
Page 431
... Consider a query looking for total sales for the year , by product , for all the stores . If you have detailed records keeping sales by individual calendar dates , by product , and by store , then this query needs to read a large number ...
... Consider a query looking for total sales for the year , by product , for all the stores . If you have detailed records keeping sales by individual calendar dates , by product , and by store , then this query needs to read a large number ...
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