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 149
... data warehouse environment . Memory protection . Again , in a data warehouse environment , large numbers of queries are common . That means that multiple queries will be executing concurrently . A memory protection feature in an ...
... data warehouse environment . Memory protection . Again , in a data warehouse environment , large numbers of queries are common . That means that multiple queries will be executing concurrently . A memory protection feature in an ...
Page 335
... data warehouse rides on the strengths of the information delivery tools . If the tools are effective , usable , and enticing , your users will come to the data ... Environment In the client - server computing architecture , information ...
... data warehouse rides on the strengths of the information delivery tools . If the tools are effective , usable , and enticing , your users will come to the data ... Environment In the client - server computing architecture , information ...
Page 343
... comput- ing and user environments . We will highlight the significance of each model , learn how to implement OLAP in your data warehouse environment , investigate OLAP 343 OLAP in the Data Warehouse Chapter Objectives.
... comput- ing and user environments . We will highlight the significance of each model , learn how to implement OLAP in your data warehouse environment , investigate OLAP 343 OLAP in the Data Warehouse Chapter Objectives.
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