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 120
... DBMS and on estimating storage for the data warehouse . DBMS Selection In the requirements definition phase , when you are interviewing the users and having for- mal meetings with them , you are not particularly discussing the type of ...
... DBMS and on estimating storage for the data warehouse . DBMS Selection In the requirements definition phase , when you are interviewing the users and having for- mal meetings with them , you are not particularly discussing the type of ...
Page 165
... DBMS and data retrieval takes place from the database . Data is retrieved and the results are sent back , all under the control of the dedicated server process . The query dispatcher software is responsible for splitting the work ...
... DBMS and data retrieval takes place from the database . Data is retrieved and the results are sent back , all under the control of the dedicated server process . The query dispatcher software is responsible for splitting the work ...
Page 166
... DBMS . Vertical Parallelism . This kind of parallelism occurs among different tasks , not just a single task in a query as in the case of horizontal parallelism . All component query opera- tions are executed in parallel , but in a ...
... DBMS . Vertical Parallelism . This kind of parallelism occurs among different tasks , not just a single task in a query as in the case of horizontal parallelism . All component query opera- tions are executed in parallel , but in a ...
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