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 444
... columns and one more column in the table . How does the data retrieval take place ? The DBMS uses this index record ... Columns for Indexing . How do you select the columns in a table as most suitable for indexing ? Which columns will ...
... columns and one more column in the table . How does the data retrieval take place ? The DBMS uses this index record ... Columns for Indexing . How do you select the columns in a table as most suitable for indexing ? Which columns will ...
Page 446
... columns highly selective ? Not really . If you inspect the columns in the dimen- sion tables , you will notice a number of columns that contain low - selectivity data . B - Tree indexes do not work well with data whose selectivity is ...
... columns highly selective ? Not really . If you inspect the columns in the dimen- sion tables , you will notice a number of columns that contain low - selectivity data . B - Tree indexes do not work well with data whose selectivity is ...
Page 448
... columns are stored and an index segment where index entries are kept . The index segment repeats the column values for the indexed columns and also holds the addresses for the entries in the data segment . Clustered tables combine the ...
... columns are stored and an index segment where index entries are kept . The index segment repeats the column values for the indexed columns and also holds the addresses for the entries in the data segment . Clustered tables combine the ...
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