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 219
... problem ? The problem is the re- sult of our decision to use the operational system key as the key for the dimension table . Surrogate Keys How do we resolve the problem faced in the previous section ? Can we use production sys- tem ...
... problem ? The problem is the re- sult of our decision to use the operational system key as the key for the dimension table . Surrogate Keys How do we resolve the problem faced in the previous section ? Can we use production sys- tem ...
Page 277
... problem . Every time a data extract function is performed for your data warehouse , which may be every day , do you pause to resolve the entity identification problem before loading the data warehouse ? How will this affect the ...
... problem . Every time a data extract function is performed for your data warehouse , which may be every day , do you pause to resolve the entity identification problem before loading the data warehouse ? How will this affect the ...
Page 289
... problem in data integration and consoli- dation . How do you resolve this problem ? 7. What is key restructuring ? Explain why it is needed . 8. Define initial load , incremental load , and full refresh . 9. Explain the difference ...
... problem in data integration and consoli- dation . How do you resolve this problem ? 7. What is key restructuring ? Explain why it is needed . 8. Define initial load , incremental load , and full refresh . 9. Explain the difference ...
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