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 104
... source systems . Where do you turn to for information available in the source systems ? This is where the operational system DBAs ( database administrators ) and application experts from IT become very important for gathering data . The ...
... source systems . Where do you turn to for information available in the source systems ? This is where the operational system DBAs ( database administrators ) and application experts from IT become very important for gathering data . The ...
Page 271
... source systems not affected . No revisions to existing applications . Can be used on legacy systems . Can be used on file - oriented systems . Vendor products are used . No internal costs . Capture through transaction logs Not much ...
... source systems not affected . No revisions to existing applications . Can be used on legacy systems . Can be used on file - oriented systems . Vendor products are used . No internal costs . Capture through transaction logs Not much ...
Page 306
... source systems , in the staging area , or perhaps even in the data ware- house . You may also adopt a method that splits the overall data cleansing effort into parts that can be applied in two of the areas , or even in all three areas ...
... source systems , in the staging area , or perhaps even in the data ware- house . You may also adopt a method that splits the overall data cleansing effort into parts that can be applied in two of the areas , or even in all three areas ...
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