Index Data Structures in Object-Oriented Databases / Edition 1

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Overview

The purpose of Index Data Structures in Object-Oriented Databases is to provide technical information about current and future issues of search data structures used to index large object-oriented databases. The intended audience of this book includes practitioners involved in OODBMS product selection, application dependent database performance tuning and application development on top of object databases, as well as researchers and students interested in the technical issues of object-oriented databases. The only prerequisite for understanding the material presented in this book is a working knowledge of object-oriented modeling and programming concepts and a minimum knowledge of algebraic concepts like, for example, sets.
Index Data Structures in Object-Oriented Databases is suitable as a secondary text for a graduate level course on Indexing and Object-Oriented Databases, and as a reference for researchers and practitioners in industry.

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Editorial Reviews

Booknews
Provides technical information about current and future issues relating to search data structures used to index large object- oriented databases, for people involved with developing such databases or applications to be used on top of them, or with tuning the performance of application-dependent databases. Assumes a working knowledge of object-oriented modeling and programming concepts and at least a little of algebraic concepts such as sets. Discusses the underlying database model, technical issues of search data structures, type hierarchy indexing, aggregation path indexing, the speedup of collection operations, and performance analysis. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780792399711
  • Publisher: Springer US
  • Publication date: 8/31/1997
  • Series: Advances in Database Systems Series , #7
  • Edition description: 1997
  • Edition number: 1
  • Pages: 177
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.50 (d)

Table of Contents

Preface. 1. Introduction. 2. Database Model. 3. Data Structures and Indexing. 4. Type Hierarchy Indexing. 5. Aggregation Path Indexing. 6. Collection Operations. 7. Performance Analysis - An Example. References. Index.

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