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 28
... COMPONENTS We have now reviewed the basic definitions and features of data warehouses and data marts and completed a significant discussion of them . We have established our position on what the term data ... Components Source Data Component.
... COMPONENTS We have now reviewed the basic definitions and features of data warehouses and data marts and completed a significant discussion of them . We have established our position on what the term data ... Components Source Data Component.
Page 114
... components must be knit togeth- er so that they will work as an integrated system . Before we proceed further , let us recap the major architectural components as dis- cussed in Chapter 2 : Source data Production data Internal data ...
... components must be knit togeth- er so that they will work as an integrated system . Before we proceed further , let us recap the major architectural components as dis- cussed in Chapter 2 : Source data Production data Internal data ...
Page 132
... components . Metadata in a data warehouse is so important that we have dedicated Chapter 9 in its entirety to discuss metadata . ARCHITECTURAL FRAMEWORK Earlier in a previous section of this chapter , we grouped the architectural components ...
... components . Metadata in a data warehouse is so important that we have dedicated Chapter 9 in its entirety to discuss metadata . ARCHITECTURAL FRAMEWORK Earlier in a previous section of this chapter , we grouped the architectural components ...
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