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 407
Features OLAP DATA MINING Motivation for information request Predict the
future based on why this is happening . Detailed transaction - level data . Data
granularity What is happening in the enterprise ? Summary data . Limited number
of ...
Features OLAP DATA MINING Motivation for information request Predict the
future based on why this is happening . Detailed transaction - level data . Data
granularity What is happening in the enterprise ? Summary data . Limited number
of ...
Page 409
A Comprehensive Guide for IT Professionals Paulraj Ponniah. Application Area
Examples of Mining Functions Mining Processes Mining Techniques Data
Visualization Fraud Detection Determination of variations from norms Credit card
frauds ...
A Comprehensive Guide for IT Professionals Paulraj Ponniah. Application Area
Examples of Mining Functions Mining Processes Mining Techniques Data
Visualization Fraud Detection Determination of variations from norms Credit card
frauds ...
Page 426
Applications in Banking and Finance This is another industry where you will find
heavy usage of data mining . Banking has been reshaped by regulations in the
past few years . Mergers and acquisitions are more pronounced in banking and ...
Applications in Banking and Finance This is another industry where you will find
heavy usage of data mining . Banking has been reshaped by regulations in the
past few years . Mergers and acquisitions are more pronounced in banking and ...
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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
Bibliographic information
| Title | Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals |
| Author | Paulraj Ponniah |
| Edition | illustrated |
| Publisher | Wiley, 2001 |
| Original from | the University of Michigan |
| Digitized | 19 Nov 2007 |
| ISBN | 0471412546, 9780471412540 |
| Length | 544 pages |
| Subjects | › › Computers / Databases / Data Warehousing Computers / Information Technology |
| Export Citation | BiBTeX EndNote RefMan |