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 25
Before deciding to build a data warehouse for your organization , you need to ask
the following basic and fundamental questions and address the relevant issues :
• Top - down or bottom - up approach ? • Enterprise - wide or departmental ?
Before deciding to build a data warehouse for your organization , you need to ask
the following basic and fundamental questions and address the relevant issues :
• Top - down or bottom - up approach ? • Enterprise - wide or departmental ?
Page 28
When we build an operational system such as order entry , claims processing , or
savings account , we put together several components to make up the system .
The front - end component consists of the GUI ( graphical user interface ) to ...
When we build an operational system such as order entry , claims processing , or
savings account , we put together several components to make up the system .
The front - end component consists of the GUI ( graphical user interface ) to ...
Page 65
In Chapter 2 , we discussed the top - down and bottom - up approaches for
building a data warehouse . The top - down approach is to start at the enterprise -
wide data warehouse , although possibly build it iteratively . Then data from the ...
In Chapter 2 , we discussed the top - down and bottom - up approaches for
building a data warehouse . The top - down approach is to start at the enterprise -
wide data warehouse , although possibly build it iteratively . Then data from the ...
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Contents
The Compelling Need for Data Warehousing | 1 |
The Building Blocks | 19 |
Planning and Project Management | 63 |
Copyright | |
14 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
able aggregate analysis applications approach architecture attributes build changes chapter cleansing columns complex components consider contain costs create data extraction data marts data mining data quality data structures data transformation data warehouse data warehousing database decision definition dimension table discuss environment example executive fact table Figure files functions important individual information delivery initial integrated load look major marketing metadata methods month Name OLAP operational systems options performance physical platform problem queries records relational reports represent requirements rows schema selection shows single source systems specific standards STAR step storage strategic structures summary techniques tion types users values various vendors ware