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 207
... dimension tables . How should these tables be arranged in the dimensional model ? What are the relationships and how should we mark the relationships in the model ? The dimensional model should primarily facilitate queries and analyses ...
... dimension tables . How should these tables be arranged in the dimensional model ? What are the relationships and how should we mark the relationships in the model ? The dimensional model should primarily facilitate queries and analyses ...
Page 208
... dimension tables in our dimensional model and mark the relationships , let us go over what the dimensional model needs to achieve and what its purposes are . Here are some of the criteria for combining the tables into a dimensional model .
... dimension tables in our dimensional model and mark the relationships , let us go over what the dimensional model needs to achieve and what its purposes are . Here are some of the criteria for combining the tables into a dimensional model .
Page 344
... dimensional modeling technique and the collection of these data marts forms the data warehouse environment for your ... model . Therefore , these data marts must be able to support dimensional analysis . In prac- tice , these data marts ...
... dimensional modeling technique and the collection of these data marts forms the data warehouse environment for your ... model . Therefore , these data marts must be able to support dimensional analysis . In prac- tice , these data marts ...
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