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 443
... indexing ranks very high . What types of indexes must you build in your data warehouse ? The DBMS vendors of- fer a variety of choices . The choice is no longer confined to sequential index files . All vendors support B - Tree indexes ...
... indexing ranks very high . What types of indexes must you build in your data warehouse ? The DBMS vendors of- fer a variety of choices . The choice is no longer confined to sequential index files . All vendors support B - Tree indexes ...
Page 444
... indexes also increase in size , re- quiring more storage . The general rule is that the maximum number of indexes varies in- versely with the size of the table . Large numbers of indexes affect the loading process because indexes are ...
... indexes also increase in size , re- quiring more storage . The general rule is that the maximum number of indexes varies in- versely with the size of the table . Large numbers of indexes affect the loading process because indexes are ...
Page 448
... index . Clustered Indexes Some RDBMSs offer a new type of indexing technique . In the B - Tree , bitmapped , or any sequential indexing method , you have a data segment where the values of all columns are stored and an index segment where ...
... index . Clustered Indexes Some RDBMSs offer a new type of indexing technique . In the B - Tree , bitmapped , or any sequential indexing method , you have a data segment where the values of all columns are stored and an index segment where ...
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