Database and data warehousing technologies / edited by Jovan Pehcevski.
Material type:
TextPublisher: Oakville, Ontario : Arcler Press, c2018Description: xxviii, 281pages : color illustrationsContent type: text Media type: computer Carrier type: online resourceSubject(s): Data warehousing | Databases | Database managementLOC classification: EBOP QA 76.9 | D37 2018Online resources: Electronic Resources https://www.bibliotex.com/product/database-amp-data-warehousing-technologies50102581 | Item type | Current location | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode |
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E-Books
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Cavite State University - CCAT Campus | Electronic Resources | ER | EBOP QA 76.9.D37 D38 2018 (Browse shelf) | 1 copy | Available | EBOP0000043 |
To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
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
In English text.
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