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 89
Page 50
... various operational systems run- ning on multiple platforms where it may be stored in flat files or in databases ... various types of unstructured data in the form of documents , images , audio , and video . In essence , various types of ...
... various operational systems run- ning on multiple platforms where it may be stored in flat files or in databases ... various types of unstructured data in the form of documents , images , audio , and video . In essence , various types of ...
Page 51
... various sources , it also has another application in data warehousing . In present - day warehouses , we tend to collect data in astronomical proportions . The more information stored , the more difficult it is to find the right ...
... various sources , it also has another application in data warehousing . In present - day warehouses , we tend to collect data in astronomical proportions . The more information stored , the more difficult it is to find the right ...
Page 95
... various branches of the hotel chain . We want to analyze the occupancy by individual hotels and by room types . So ... various levels of detail . What the user does here is to traverse the hierarchical levels of a business dimension for ...
... various branches of the hotel chain . We want to analyze the occupancy by individual hotels and by room types . So ... various levels of detail . What the user does here is to traverse the hierarchical levels of a business dimension for ...
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