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 29
... single customer in a single week . Or , you may just need to look at a single invoice and the items billed on that single invoice . In operational systems , you do not have broad queries . You do not query the operational system in ...
... single customer in a single week . Or , you may just need to look at a single invoice and the items billed on that single invoice . In operational systems , you do not have broad queries . You do not query the operational system in ...
Page 150
... single comput- ing platform . This was perhaps the earliest approach , when developers were implementing data warehouses on existing mainframes , minicomputers , or a single UNIX - based server . Because all operations in the data ...
... single comput- ing platform . This was perhaps the earliest approach , when developers were implementing data warehouses on existing mainframes , minicomputers , or a single UNIX - based server . Because all operations in the data ...
Page 274
... Single Fields . Earlier legacy systems stored names and addresses of cus- tomers and employees in large text fields . The first name , middle initials , and last name were stored as a large text in a single field . Similarly , some ...
... Single Fields . Earlier legacy systems stored names and addresses of cus- tomers and employees in large text fields . The first name , middle initials , and last name were stored as a large text in a single field . Similarly , some ...
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