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Database and data warehousing technologies / edited by Jovan Pehcevski.

Contributor(s): Material type: TextPublication details: Oakville, Ontario : Arcler Press, c2018.Description: xxviii, 281pages : color illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): LOC classification:
  • EBOP QA 76.9 D37 2018
Contents:
Section I: Data Warehouse Technology Chapter 1: Data Warehouse Technology Data Warehouse Design Using Process-Oriented Requirement Analysis Chapter 2: Identification of Categorical Registration Data of Domain Names in Data Warehouse Construction Task Chapter 3: Comparative Study of Data Warehouse Design Approaches Chapter 4: Using Metadata Analysis and Base Analysis Techniques in Data Qualities Framework for Data Warehouses Chapter 5: The Critical Factors Influencing the Adoptions of Data Warehouse Section II: Business-Oriented Data Warehouse Applications Chapter 6: Data Warehousing, Data Mining, OLAP and OLTP Technologies Chapter 7: A Data Warehouse Design for the Detection of Fraud in the Supply Chain by Using the Benford’s Law Chapter 8: Data Load Manifestation in Process Chains in Sap Business Warehouse Chapter 9: Big Data Usage in the Marketing Information System Section III: Bio-Medical Data Warehouse Use Cases Chapter 10: Building a Health Care Data Warehouse Chapter 11: Osteoporosis Data Warehouse in the Osteoporosis Community Health Information Management System Chapter 12: Integrative Genomic and Proteomic Data Warehouse Chapter 13: Truncatulix – A Data Warehouse for the Legume Community Chapter 14: Approaches to Access Biological Data Sources Section IV: Data Warehouse Applications in the Public Sector Chapter 15: Data Warehouse and the Deployment of Data Mining Process to Make Decision for Leishmaniasis in Marrakech City Chapter 16: Data Warehouse Technology and Application in Data Centre Design for E-Government Chapter 17: Data Warehouse Use Geographic Information System for Ornamentals Chapter 18: Gossip Management at Universities Using Big Data Warehouse Model Integrated with a Decision Support System
Summary: A database is an organized collection of data. It is the collection of schemas, tables, queries, reports, views and other objects. A data warehouse is a subject-oriented, integrated, timevariant and non-volatile collection of data in support of management’s decision making process. This book provides a comprehensive compilation of knowledge covering state-ofthe- art developments and research, as well as current innovative activities in data warehousing.
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E-Books Cavite State University - CCAT Campus Electronic Resources ER EBOP QA 76.9.D37 D38 2018 (Browse shelf(Opens below)) 1 copy Available EBOP0000043

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Includes references and index.

Section I: Data Warehouse Technology
Chapter 1: Data Warehouse Technology Data Warehouse Design Using Process-Oriented Requirement Analysis
Chapter 2: Identification of Categorical Registration Data of Domain Names in Data Warehouse Construction Task
Chapter 3: Comparative Study of Data Warehouse Design Approaches
Chapter 4: Using Metadata Analysis and Base Analysis Techniques in Data Qualities Framework for Data Warehouses
Chapter 5: The Critical Factors Influencing the Adoptions of Data Warehouse
Section II: Business-Oriented Data Warehouse Applications
Chapter 6: Data Warehousing, Data Mining, OLAP and OLTP Technologies
Chapter 7: A Data Warehouse Design for the Detection of Fraud in the Supply Chain by Using the Benford’s Law
Chapter 8: Data Load Manifestation in Process Chains in Sap Business Warehouse
Chapter 9: Big Data Usage in the Marketing Information System
Section III: Bio-Medical Data Warehouse Use Cases
Chapter 10: Building a Health Care Data Warehouse
Chapter 11: Osteoporosis Data Warehouse in the Osteoporosis Community Health Information Management System
Chapter 12: Integrative Genomic and Proteomic Data Warehouse
Chapter 13: Truncatulix – A Data Warehouse for the Legume Community
Chapter 14: Approaches to Access Biological Data Sources
Section IV: Data Warehouse Applications in the Public Sector
Chapter 15: Data Warehouse and the Deployment of Data Mining Process to Make Decision for Leishmaniasis in Marrakech City
Chapter 16: Data Warehouse Technology and Application in Data Centre Design for E-Government
Chapter 17: Data Warehouse Use Geographic Information System for Ornamentals
Chapter 18: Gossip Management at Universities Using Big Data Warehouse Model Integrated with a Decision Support System

A database is an organized collection of data. It is the collection of schemas, tables, queries, reports, views and other objects. A data warehouse is a subject-oriented, integrated, timevariant and non-volatile collection of data in support of management’s decision making process. This book provides a comprehensive compilation of knowledge covering state-ofthe- art developments and research, as well as current innovative activities in data warehousing.

EBOP00043 1

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