Cross-Disciplinary Models and Applications of Database Management: Advancing Approaches

Cross-Disciplinary Models and Applications of Database Management: Advancing Approaches

Keng Siau (City University of Hong Kong, Hong Kong SAR)
Release Date: December, 2011|Copyright: © 2012 |Pages: 479
DOI: 10.4018/978-1-61350-471-0
ISBN13: 9781613504710|ISBN10: 1613504713|EISBN13: 9781613504727
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Description & Coverage
Description:

Within a given enterprise, database management involves the monitoring, administration, and maintenance of the databases, which constantly change with new technologies and new forms of data.

Cross-Disciplinary Models and Applications of Database Management: Advancing Approaches is an updated look at the latest tools and technology within the burgeoning field of database management. Perfect for the network administrator, technician, information technology specialist or consultant, or for academics and students, this volume presents the latest the field has to offer by way of cases and new research. As database languages, models, and systems change, it’s vital for practitioners within the field to stay abreast of the latest research and methods being used around the world, and this book offers the most current advances available.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Automated Optimization
  • Change and Access Logging
  • Conceptual Modeling
  • Database Management Systems
  • Database Query Languages
  • Database Security and Integrity
  • Design Science
  • Information modeling
  • Object Oriented Methodologies
  • Ontology Languages
Reviews & Statements

This volume, Cross-Disciplinary Models and Applications of Database Management: Advancing Approaches, presents eighteen excellent chapters of exemplary research in the areas of database theory, systems design, systems building, virtual environments, ontologies, and others. Many disciplines are converging, and many disciplines can benefit from theories, models, and research results from other disciplines. Cross fertilization of ideas from different disciplines will help to produce innovative research and create new disciplines.

– Keng Siau, University of Nebraska - Lincoln, USA
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