Parallel Database Systems

Author : Alex A. Freitas,Simon H. Lavington
Publisher : Springer Science & Business Media
Page : 211 pages
File Size : 53,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461555216

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Mining Very Large Databases with Parallel Processing by Alex A. Freitas,Simon H. Lavington Pdf

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 : M. Tamer Özsu,Patrick Valduriez
Publisher : Springer Science & Business Media
Page : 846 pages
File Size : 52,9 Mb
Release : 2011-02-24
Category : Computers
ISBN : 9781441988348

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Principles of Distributed Database Systems by M. Tamer Özsu,Patrick Valduriez Pdf

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 : Unknown
Page : 448 pages
File Size : 53,6 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662190109

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Parallel Database Systems by Pierre America Pdf

Author : S. K. Singh
Publisher : Pearson Education India
Page : 954 pages
File Size : 53,8 Mb
Release : 2011
Category : Database design
ISBN : 8131760928

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Database Systems by S. K. Singh Pdf

The second edition of this bestselling title is a perfect blend of theoretical knowledge and practical application. It progresses gradually from basic to advance concepts in database management systems, with numerous solved exercises to make learning easier and interesting. New to this edition are discussions on more commercial database management systems.

Author : Mahdi Abdelguerfi,Kam-Fai Wong
Publisher : Wiley-IEEE Computer Society Press
Page : 240 pages
File Size : 48,6 Mb
Release : 1998-08-13
Category : Computers
ISBN : UOM:39015053752302

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Parallel Database Techniques by Mahdi Abdelguerfi,Kam-Fai Wong Pdf

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,Clement H. C. Leung,Wenny Rahayu,Sushant Goel
Publisher : John Wiley & Sons
Page : 576 pages
File Size : 48,7 Mb
Release : 2008-09-17
Category : Computers
ISBN : 9780470391358

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High-Performance Parallel Database Processing and Grid Databases by David Taniar,Clement H. C. Leung,Wenny Rahayu,Sushant Goel Pdf

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 : Pierre America
Publisher : Springer Science & Business Media
Page : 452 pages
File Size : 53,9 Mb
Release : 1991-06-26
Category : Computers
ISBN : 3540541322

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Parallel Database Systems by Pierre America Pdf

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 : Joseph M. Hellerstein,Michael Stonebraker
Publisher : MIT Press
Page : 884 pages
File Size : 54,5 Mb
Release : 2005
Category : Computers
ISBN : 0262693143

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Readings in Database Systems by Joseph M. Hellerstein,Michael Stonebraker Pdf

The latest edition of a popular text and reference on database research, with substantial new material and revision; covers classical literature and recent hot topics. Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. The core ideas in the field have become increasingly influential. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area--the basic material for any DBMS professional. This fourth edition has been substantially updated and revised, with 21 of the 48 papers new to the edition, four of them published for the first time. Many of the sections have been newly organized, and each section includes a new or substantially revised introduction that discusses the context, motivation, and controversies in a particular area, placing it in the broader perspective of database research. Two introductory articles, never before published, provide an organized, current introduction to basic knowledge of the field; one discusses the history of data models and query languages and the other offers an architectural overview of a database system. The remaining articles range from the classical literature on database research to treatments of current hot topics, including a paper on search engine architecture and a paper on application servers, both written expressly for this edition. The result is a collection of papers that are seminal and also accessible to a reader who has a basic familiarity with database systems.

Author : Anonim
Publisher : Unknown
Page : 473 pages
File Size : 43,6 Mb
Release : 1989
Category : Computer architecture
ISBN : 0818688564

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Tutorial by Anonim Pdf

Author : Hongjun Lu,Beng Chin Ooi,Kian-Lee Tan
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Page : 400 pages
File Size : 40,8 Mb
Release : 1994
Category : Computers
ISBN : STANFORD:36105018334784

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Query Processing in Parallel Relational Database Systems by Hongjun Lu,Beng Chin Ooi,Kian-Lee Tan Pdf

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,

Author : Shivnath Babu,Herodotos Herodotou
Publisher : Unknown
Page : 120 pages
File Size : 49,6 Mb
Release : 2013
Category : Computers
ISBN : 1601987501

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Massively Parallel Databases and MapReduce Systems by Shivnath Babu,Herodotos Herodotou Pdf

Massively Parallel Databases and MapReduce Systems covers the design principles and core features of systems for analyzing very large datasets using massively-parallel computation and storage techniques on large clusters of nodes.

Author : Nabil R. Adam,Bharat K. Bhargava
Publisher : Springer Science & Business Media
Page : 476 pages
File Size : 50,6 Mb
Release : 1993-12-08
Category : Computers
ISBN : 3540575073

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Advanced Database Systems by Nabil R. Adam,Bharat K. Bhargava Pdf

Database management is attracting wide interest in both academic and industrial contexts. New application areas such as CAD/CAM, geographic information systems, and multimedia are emerging. The needs of these application areas are far more complex than those of conventional business applications. The purpose of this book is to bring together a set of current research issues that addresses a broad spectrum of topics related to database systems and applications. The book is divided into four parts: - object-oriented databases, - temporal/historical database systems, - query processing in database systems, - heterogeneity, interoperability, open system architectures, multimedia database systems.

Author : Stephen Morse,David Isaac
Publisher : Prentice Hall
Page : 424 pages
File Size : 55,8 Mb
Release : 1998
Category : Computers
ISBN : STANFORD:36105019353387

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Parallel Systems in the Data Warehouse by Stephen Morse,David Isaac Pdf

Readers will learn to leverage the power of parallel computing in their enterprise-wide data warehouses. This title focuses exclusively on UNIX-based parallel computing and relational databases in the data warehouse. The title answers tough questions for effective purchasing and decision making.

Author : Ioannis Vlahavas,Nick Bassiliades
Publisher : Springer Science & Business Media
Page : 156 pages
File Size : 44,9 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9781475761344

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Parallel, Object-Oriented, and Active Knowledge Base Systems by Ioannis Vlahavas,Nick Bassiliades Pdf

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 : Svein-Olaf Hvasshovd
Publisher : Springer-Verlag
Page : 309 pages
File Size : 51,8 Mb
Release : 2013-03-09
Category : Technology & Engineering
ISBN : 9783322938602

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Recovery in Parallel Database Systems by Svein-Olaf Hvasshovd Pdf

The relational DBMS technology is a success in the commercial market. This success has led to the use of DBMS technology in application environments requesting their traditional virtues but at the same time adding new requirements such as: Very high transaction rates, real-time transaction response, and continuous availability. New multi-processor hardware architectures lay the foundation making it possible to meet these requirements. This book presents and analysis in a systematic way the main recovery approaches for centralised DBMSs developed over the last two decades, in particular to how well they fulfil the requirements for availability and soft real-time response. The analysis relates specifically to approaches used in current commercial and research systems. The element in particular lacking in the current methods is the ability to on-line re-establish the faulttolerance level automatically and without blocking. A set of novel recovery methods for parallel DBM's based on multi-computer shared nothing hardware is presented. The recovery methods are intended to support: Continuously available transaction services, very high transaction loads, and soft real-time transaction response. Dieses Buch gibt einen guten, systematisch gegliederten Einblick in die maßgeblichen Methoden des Recovery ("Wiederherstellung"), eines der wichtigsten Themen im Bereich des Handlings großer Datenbanksysteme. Dabei geht es darum, wie die Verfügbarkeit korrekter Daten gewährleistet sowie Transaktionen und Änderungen von Daten hinsichtlich Echtzeit möglichst optimal bewerkstelligt werden können. Behandelt werden sowohl kommerzielle wie auch in der Forschung verwandte parallele Systeme.