<p>Recent years have seen an explosive growth in the use of new database applications such as CAD/CAM systems, spatial information systems, and multimedia information systems. The needs of these applications are far more complex than traditional business applications. They call for support of objects with complex data types, such as images and spatial objects, and for support of objects with wildly varying numbers of index terms, such as documents. Traditional indexing techniques such as the B-tree and its variants do not efficiently support these applications, and so new indexing mechanisms have been developed. As a result of the demand for database support for new applications, there has been a proliferation of new indexing techniques. <br> The need for a book addressing indexing problems in advanced applications is evident. For practitioners and database and application developers, this book explains best practice, guiding the selection of appropriate indexes for each application. For researchers, this book provides a foundation for the development of new and more robust indexes. For newcomers, this book is an overview of the wide range of advanced indexing techniques. <br> Indexing Techniques for Advanced Database Systems is suitable as a secondary text for a graduate level course on indexing techniques, and as a reference for researchers and practitioners in industry.</p>

Indexing Techniques for Advanced Database Systems (Advances in Database Systems, 8)

Zobel, Justin

Ooi, Beng Chin

Bertino, Elisa

Sacks-Davis, Ron

Tan, Kian-Lee

Shidlovsky, Boris

Andronico, Daniele

Reference

Springer

Provides readers with a background knowledge of parallel database query processing and optimization and covers recent developments in the field. Subjects include design approaches, architecture of parallel database systems, parallel sorting, parallel processing of join, data skew and load balancing, and parallel query optimization. Lacks an index. Annotation copyright Book News, Inc. Portland, Or.

Query Processing in Parallel Relational Database Systems

Lu, Hongjun

Computers & Technology

IEEE Computer Society

Recent years have seen an explosive growth in the use of new database applications such as CAD/CAM systems, spatial information systems, and multimedia information systems. The needs of these applications are far more complex than traditional business applications. They call for support of objects with complex data types, such as images and spatial objects, and for support of objects with wildly varying numbers of index terms, such as documents. Traditional indexing techniques such as the B-tree and its variants do not efficiently support these applications, and so new indexing mechanisms have been developed. As a result of the demand for database support for new applications, there has been a proliferation of new indexing techniques.  The need for a book addressing indexing problems in advanced applications is evident. For practitioners and database and application developers, this book explains best practice, guiding the selection of appropriate indexes for each application. For researchers, this book provides a foundation for the development of new and more robust indexes. For newcomers, this book is an overview of the wide range of advanced indexing techniques.  Indexing Techniques for Advanced Database Systems is suitable as a secondary text for a graduate level course on indexing techniques, and as a reference for researchers and practitioners in industry.

Indexing Techniques for Advanced Database Systems (Advances in Database Systems)

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