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 91
... month by month , in the southern division , by user demographic , by sales office , relative to the previous version , and compared to plan ? Marketing Manager Give me sales statistics by products , summarized by product categories ...
... month by month , in the southern division , by user demographic , by sales office , relative to the previous version , and compared to plan ? Marketing Manager Give me sales statistics by products , summarized by product categories ...
Page 345
... month compared to last month , or performance this month compared with performance the same month last year . Another point about the uniqueness of the time dimension is the way in which the hier- archies of the dimension work . A user ...
... month compared to last month , or performance this month compared with performance the same month last year . Another point about the uniqueness of the time dimension is the way in which the hier- archies of the dimension work . A user ...
Page 354
... month is one of the attributes of the time dimension . Values of this at- tribute month are represented on the Y - axis . Similarly , values of the attributes product name and store name are represented on the other two axes . This ...
... month is one of the attributes of the time dimension . Values of this at- tribute month are represented on the Y - axis . Similarly , values of the attributes product name and store name are represented on the other two axes . This ...
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