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 210
... schema for the target database system you need to work with . Forward - engineering is easily done with these case tools . For modeling the data warehouse , we are interested in the dimensional ... STAR Schema Review of a Simple STAR Schema.
... schema for the target database system you need to work with . Forward - engineering is easily done with these case tools . For modeling the data warehouse , we are interested in the dimensional ... STAR Schema Review of a Simple STAR Schema.
Page 221
... STAR schema reflects exactly how the users think and need data for querying and analysis . They think in terms of significant business metrics . The fact table contains the metrics . The users think in terms of business dimensions for ...
... STAR schema reflects exactly how the users think and need data for querying and analysis . They think in terms of significant business metrics . The fact table contains the metrics . The users think in terms of business dimensions for ...
Page 224
... STAR schema . Can you think of any disadvan- tages of the STAR schema ? EXERCISES 1. Match the columns : 1. information package 2. fact table 3. case tools 4. dimension hierarchies 5. dimension table 6. degenerate dimensions 7. profit ...
... STAR schema . Can you think of any disadvan- tages of the STAR schema ? EXERCISES 1. Match the columns : 1. information package 2. fact table 3. case tools 4. dimension hierarchies 5. dimension table 6. degenerate dimensions 7. profit ...
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