Parallel Database Techniques

Author : Mahdi Abdelguerfi
Publisher : Wiley-IEEE Computer Society Press
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.02/5 ( download)

DOWNLOAD NOW!

Download or read book Parallel Database Techniques written by Mahdi Abdelguerfi and published by Wiley-IEEE Computer Society Press. This book was released on 1998-08-13 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel processing technology in the next generation of Database Management Systems (DBMSs) make it possible to meet challenging new requirements. Database technology is rapidly expanding new application areas brings unique challenges such as increased functionality and efficient handling of very large heterogeneous databases. Abdelguerfi and Wong present the latest techniques in parallel relational databases illustrating high-performance achievements in parallel database systems. The text is st5ructured according to the overall architecture of a parallel database system presenting various techniques that may be adopted to the design of parallel database software and hardware execution environments. These techniques can directly or indirectly lead to high-performance parallel database implementation. The book's main focus follows the authors' engineering model: A survey of parallel query optimization techniques for requests involving multi-way joins A new technique for a join operation that can be adopted in the local optimization stage A framework for recovery in parallel database systems using the ACTA formalism The architectural details of NCR's new Petabyte multimedia database system A description of the Super Database Computer (SDC-II) A case study for a shared-nothing parallel database server that analyzes and compares the effectiveness of five data placement techniques

Author : David Taniar
Publisher : John Wiley & Sons
ISBN 13 : 0470391359
Total Pages : 575 pages
Book Rating : 4.58/5 ( download)

DOWNLOAD NOW!

Download or read book High-Performance Parallel Database Processing and Grid Databases written by David Taniar and published by John Wiley & Sons. This book was released on 2008-09-17 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest techniques and principles of parallel and grid database processing The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS). This important new book provides readers with a fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. It presents a balanced treatment of the theoretical and practical aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models, and grid transactions. High-Performance Parallel Database Processing and Grid Databases serves as a valuable resource for researchers working in parallel databases and for practitioners interested in building a high-performance database. It is also a much-needed, self-contained textbook for database courses at the advanced undergraduate and graduate levels.

Author : Alex A. Freitas
Publisher : Springer Science & Business Media
ISBN 13 : 1461555213
Total Pages : 211 pages
Book Rating : 4.16/5 ( download)

DOWNLOAD NOW!

Download or read book Mining Very Large Databases with Parallel Processing written by Alex A. Freitas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms. The book is divided into three parts. The first part presents a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers. It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science. The primary audience for Mining Very Large Databases with Parallel Processing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.

Author : Michael Jaedicke
Publisher : Springer
ISBN 13 : 3540455078
Total Pages : 163 pages
Book Rating : 4.73/5 ( download)

DOWNLOAD NOW!

Download or read book New Concepts for Parallel Object-Relational Query Processing written by Michael Jaedicke and published by Springer. This book was released on 2003-06-30 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last few years, parallel object-relational database management systems have emerged as the leading data management technology on the market. These systems are extensible by user-defined data types and user-defined functionality for the data. This work focuses on the efficient parallel execution of user-defined functionality. The main contributions describe techniques to support data parallelism for user-defined scalar and aggregate functions and intra-function parallelism for the execution of a scalar function on a large object, and a new technology to provide extensibility with regard to new set-oriented database operations that can efficiently implement user-defined functionality in parallel object-relational database management systems.

Author : M. Tamer Özsu
Publisher : Springer Science & Business Media
ISBN 13 : 1441988343
Total Pages : 856 pages
Book Rating : 4.48/5 ( download)

DOWNLOAD NOW!

Download or read book Principles of Distributed Database Systems written by M. Tamer Özsu and published by Springer Science & Business Media. This book was released on 2011-02-24 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced a renewal of interest in distributed and parallel data management, while, at the same time, requiring a rethinking of some of the traditional techniques. This book covers the breadth and depth of this re-emerging field. The coverage consists of two parts. The first part discusses the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. The second part focuses on more advanced topics and includes discussion of parallel database systems, distributed object management, peer-to-peer data management, web data management, data stream systems, and cloud computing. New in this Edition: • New chapters, covering database replication, database integration, multidatabase query processing, peer-to-peer data management, and web data management. • Coverage of emerging topics such as data streams and cloud computing • Extensive revisions and updates based on years of class testing and feedback Ancillary teaching materials are available.

Author : Pierre America
Publisher : Springer Science & Business Media
ISBN 13 : 9783540541325
Total Pages : 452 pages
Book Rating : 4.22/5 ( download)

DOWNLOAD NOW!

Download or read book Parallel Database Systems written by Pierre America and published by Springer Science & Business Media. This book was released on 1991-06-26 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of a workshop on parallel database systems organized by the PRISMA (Parallel Inference and Storage Machine) project. The invited contributions by internationally recognized experts give a thorough survey of several aspects of parallel database systems. The second part of the volume gives an in-depth overview of the PRISMA system. This system is based on a parallel machine, where the individual processors each have their own local memory and communicate with each other over a packet-switched network. On this machine a parallel object-oriented programming language, POOL-X, has been implemented, which provides dedicated support for database systems as well as general facilities for parallel programming. The POOL-X system then serves as a platform for a complete relational main-memory database management system, which uses the parallelism of the machine to speed up significantly the execution of database queries. The presentation of the PRISMA system, together with the invited papers, gives a broad overview of the state of the art in parallel database systems.

Author : Herodotos Herodotou
Publisher :
ISBN 13 : 9781601987518
Total Pages : 120 pages
Book Rating : 4.1X/5 ( download)

DOWNLOAD NOW!

Download or read book Massively Parallel Databases and MapReduce Systems written by Herodotos Herodotou and published by . This book was released on 2012 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Ioannis Vlahavas
Publisher : Springer Science & Business Media
ISBN 13 : 1475761341
Total Pages : 156 pages
Book Rating : 4.44/5 ( download)

DOWNLOAD NOW!

Download or read book Parallel, Object-Oriented, and Active Knowledge Base Systems written by Ioannis Vlahavas and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Base Systems are an integration of conventional database systems with Artificial Intelligence techniques. They provide inference capabilities to the database system by encapsulating the knowledge of the application domain within the database. Knowledge is the most valuable of all corporate resources that must be captured, stored, re-used and continuously improved, in much the same way as database systems were important in the previous decade. Flexible, extensible, and yet efficient Knowledge Base Systems are needed to capture the increasing demand for knowledge-based applications which will become a significant market in the next decade. Knowledge can be expressed in many static and dynamic forms; the most prominent being domain objects, their relationships, and their rules of evolution and transformation. It is important to express and seamlessly use all types of knowledge in a single Knowledge Base System. Parallel, Object-Oriented, and Active Knowledge Base Systems presents in detail features that a Knowledge Base System should have in order to fulfill the above requirements. Parallel, Object-Oriented, and Active Knowledge Base Systems covers in detail the following topics: Integration of deductive, production, and active rules in sequential database systems. Integration and inter-operation of multiple rule types into the same Knowledge Base System. Parallel rule matching and execution, for deductive, production, and active rules, in parallel Export, Knowledge Base, and Database Systems. In-depth description of a Parallel, Object-Oriented, and Active Knowledge Base System that integrates all rule paradigms into a single database system without hindering performance. Parallel, Object-Oriented, and Active Knowledge Base Systems is intended as a graduate-level text for a course on Knowledge Base Systems and as a reference for researchers and practitioners in the areas of database systems, knowledge base systems and Artificial Intelligence.

Author : Dr. Mukta Makhija
Publisher : SK Research Group of Companies
ISBN 13 : 8196523890
Total Pages : 144 pages
Book Rating : 4.93/5 ( download)

DOWNLOAD NOW!

Download or read book RECENT TECHNIQUES IN DATABASE TECHNOLOGY written by Dr. Mukta Makhija and published by SK Research Group of Companies. This book was released on 2023-08-21 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Mukta Makhija, Professor, Head - MCA, Head - Research Development and Innovation Cell, Deparment of Computer Application, Integrated Academy of Management and Technology((INMANTEC), Ghaziabad, Uttar Pradesh, India. Prof. Arpita Singh, Assistant Professor, Deparment of Computer Application, Integrated Academy of Management and Technology((INMANTEC), Ghaziabad, Uttar Pradesh, India. Prof. Neelam Dutt, Assistant Professor, Deparment of Information Technology, Integrated Academy of Management and Technology((INMANTEC), Ghaziabad, Uttar Pradesh, India. Prof. Navneet Tyagi, Assistant Professor, Deparment of Computer Application, Integrated Academy of Management and Technology((INMANTEC), Ghaziabad, Uttar Pradesh, India.

Author : Paraschos Koutris
Publisher : Foundations and Trends in Databases
ISBN 13 : 9781680834062
Total Pages : 144 pages
Book Rating : 4.61/5 ( download)

DOWNLOAD NOW!

Download or read book Algorithmic Aspects of Parallel Data Processing written by Paraschos Koutris and published by Foundations and Trends in Databases. This book was released on 2018-02-22 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph reviews some of the recent theoretical results on efficient data processing on large distributed architectures, as well as some of the relevant classical results on parallel sorting and parallel matrix multiplication.