Parallel Database Techniques

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Parallel Database Techniques

Mahdi Abdelguerfi,Kam-Fai Wong
Parallel Database Techniques Book PDF

Author : Mahdi Abdelguerfi,Kam-Fai Wong
Publisher : Wiley-IEEE Computer Society Press
Page : 240 pages
File Size : 42,7 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

High-Performance Parallel Database Processing and Grid Databases

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

Author : David Taniar,Clement H. C. Leung,Wenny Rahayu,Sushant Goel
Publisher : John Wiley & Sons
Page : 575 pages
File Size : 40,5 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.

Mining Very Large Databases with Parallel Processing

Alex A. Freitas,Simon H. Lavington
Mining Very Large Databases with Parallel Processing Book PDF

Author : Alex A. Freitas,Simon H. Lavington
Publisher : Springer Science & Business Media
Page : 211 pages
File Size : 51,7 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.

Principles of Distributed Database Systems

M. Tamer Özsu,Patrick Valduriez
Principles of Distributed Database Systems Book PDF

Author : M. Tamer Özsu,Patrick Valduriez
Publisher : Springer Science & Business Media
Page : 856 pages
File Size : 43,9 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.

RECENT TECHNIQUES IN DATABASE TECHNOLOGY

Dr. Mukta Makhija,Prof. Arpita Singh,Prof. Neelam Dutt, Prof. Navneet Tyagi
RECENT TECHNIQUES IN DATABASE TECHNOLOGY Book PDF

Author : Dr. Mukta Makhija,Prof. Arpita Singh,Prof. Neelam Dutt, Prof. Navneet Tyagi
Publisher : SK Research Group of Companies
Page : 144 pages
File Size : 44,7 Mb
Release : 2023-08-21
Category : Computers
ISBN : 9788196523893

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RECENT TECHNIQUES IN DATABASE TECHNOLOGY by Dr. Mukta Makhija,Prof. Arpita Singh,Prof. Neelam Dutt, Prof. Navneet Tyagi Pdf

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.

Handbook on Data Management in Information Systems

Jacek Blazewicz,Wieslaw Kubiak,Tadeusz Morzy,Marek Rusinkiewicz
Handbook on Data Management in Information Systems Book PDF

Author : Jacek Blazewicz,Wieslaw Kubiak,Tadeusz Morzy,Marek Rusinkiewicz
Publisher : Springer Science & Business Media
Page : 586 pages
File Size : 42,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783540247425

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Handbook on Data Management in Information Systems by Jacek Blazewicz,Wieslaw Kubiak,Tadeusz Morzy,Marek Rusinkiewicz Pdf

The Handbook provides practitioners, scientists and graduate students with a good overview of basic notions, methods and techniques, as well as important issues and trends across the broad spectrum of data management. In particular, the book covers fundamental topics in the field such as distributed databases, parallel databases, advanced databases, object-oriented databases, advanced transaction management, workflow management, data warehousing, data mining, mobile computing, data integration and the Web. Summing up, the Handbook is a valuable source of information for academics and practitioners who are interested in learning the key ideas in the considered area.

New Concepts for Parallel Object-Relational Query Processing

Michael Jaedicke
New Concepts for Parallel Object Relational Query Processing Book PDF

Author : Michael Jaedicke
Publisher : Springer
Page : 163 pages
File Size : 51,5 Mb
Release : 2003-06-30
Category : Computers
ISBN : 9783540455073

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New Concepts for Parallel Object-Relational Query Processing by Michael Jaedicke Pdf

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.

Database Technologies: Concepts, Methodologies, Tools, and Applications

Erickson, John
Database Technologies Concepts Methodologies Tools and Applications Book PDF

Author : Erickson, John
Publisher : IGI Global
Page : 2962 pages
File Size : 41,5 Mb
Release : 2009-02-28
Category : Business & Economics
ISBN : 9781605660592

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Database Technologies: Concepts, Methodologies, Tools, and Applications by Erickson, John Pdf

"This reference expands the field of database technologies through four-volumes of in-depth, advanced research articles from nearly 300 of the world's leading professionals"--Provided by publisher.

Principles of Distributed Database Systems

M. Tamer Özsu,Patrick Valduriez
Principles of Distributed Database Systems Book PDF

Author : M. Tamer Özsu,Patrick Valduriez
Publisher : Springer Nature
Page : 674 pages
File Size : 42,8 Mb
Release : 2019-12-02
Category : Computers
ISBN : 9783030262532

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

The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems. The peer-to-peer computing chapter has been updated with a discussion of blockchains. The chapters that describe classical distributed and parallel database technology have all been updated. The new edition covers the breadth and depth of the field from a modern viewpoint. Graduate students, as well as senior undergraduate students studying computer science and other related fields will use this book as a primary textbook. Researchers working in computer science will also find this textbook useful. This textbook has a companion web site that includes background information on relational database fundamentals, query processing, transaction management, and computer networks for those who might need this background. The web site also includes all the figures and presentation slides as well as solutions to exercises (restricted to instructors).

Advances in Database Technology EDBT '96

Mokrane Bouzeghoub,Georges Gardarin
Advances in Database Technology EDBT 96 Book PDF

Author : Mokrane Bouzeghoub,Georges Gardarin
Publisher : Springer Science & Business Media
Page : 660 pages
File Size : 54,7 Mb
Release : 1996-03-18
Category : Business & Economics
ISBN : 354061057X

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Advances in Database Technology EDBT '96 by Mokrane Bouzeghoub,Georges Gardarin Pdf

This book presents the refereed proceedings of the Fifth International Conference on Extending Database Technology, EDBT'96, held in Avignon, France in March 1996. The 31 full revised papers included were selected from a total of 178 submissions; also included are some industrial-track papers, contributed by partners of several ESPRIT projects. The volume is organized in topical sections on data mining, active databases, design tools, advanced DBMS, optimization, warehousing, system issues, temporal databases, the web and hypermedia, performance, workflow management, database design, and parallel databases.

Computer Performance Evaluation. Modelling Techniques and Tools

Boudewijn R. Haverkort,Henrik C. Bohnenkamp,Connie U. Smith
Computer Performance Evaluation Modelling Techniques and Tools Book PDF

Author : Boudewijn R. Haverkort,Henrik C. Bohnenkamp,Connie U. Smith
Publisher : Springer
Page : 390 pages
File Size : 47,6 Mb
Release : 2003-06-29
Category : Computers
ISBN : 9783540464297

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Computer Performance Evaluation. Modelling Techniques and Tools by Boudewijn R. Haverkort,Henrik C. Bohnenkamp,Connie U. Smith Pdf

This book constitutes the refereed proceedings of the 11th International Conference on Modelling Tools and Techniques for Computer Communication System Performance Evaluation, TOOLS 2000, held in Schaumburg, IL, USA in March 2000. The 21 revised full papers presented were carefully reviewed and selected from a total of 49 submissions. Also included are 15 tool descriptions and one invited paper. The papers are organized in topical sections on queueing network models, optimization in mobile networks, stochastic Petri nets, simulation, formal methods and performance evaluation, and measurement tools and applications.

Query Processing in Parallel Relational Database Systems

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

Author : Hongjun Lu,Beng Chin Ooi,Kian-Lee Tan
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Page : 400 pages
File Size : 40,6 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,

Integrity Control in Parallel Database Systems

Paul Grefen
Integrity Control in Parallel Database Systems Book PDF

Author : Paul Grefen
Publisher : Self-Published
Page : 174 pages
File Size : 55,8 Mb
Release : 1992-10
Category : Science
ISBN : 9090053956

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Integrity Control in Parallel Database Systems by Paul Grefen Pdf

The work described in this thesis takes a new approach to high-performance control of data quality in databases by integrally combining the ideas of integrity control subsystems and parallel data processing. Integrity control subsystems deal with requirements regarding the quality of data in databases but require high performance processing capabilities. Parallel data processing techniques are used to obtain high performance data processing both to accomodate the requirements of the integrity control subsystems and to deal with the general high demands on database management systems. This combination leads to the notion of integrity control in parallel database systems. This notion is applied in the Transaction Modification approach and prototyped on the PRISMA highly parallel prototype database machine.

Data Management and Query Processing in Semantic Web Databases

Sven Groppe
Data Management and Query Processing in Semantic Web Databases Book PDF

Author : Sven Groppe
Publisher : Springer Science & Business Media
Page : 273 pages
File Size : 48,8 Mb
Release : 2011-04-29
Category : Computers
ISBN : 9783642193576

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Data Management and Query Processing in Semantic Web Databases by Sven Groppe Pdf

The Semantic Web, which is intended to establish a machine-understandable Web, is currently changing from being an emerging trend to a technology used in complex real-world applications. A number of standards and techniques have been developed by the World Wide Web Consortium (W3C), e.g., the Resource Description Framework (RDF), which provides a general method for conceptual descriptions for Web resources, and SPARQL, an RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence, function and annotation data, the RDF data extracted from Wikipedia, and Princeton University’s WordNet. Clearly, querying performance has become a key issue for Semantic Web applications. In his book, Groppe details various aspects of high-performance Semantic Web data management and query processing. His presentation fills the gap between Semantic Web and database books, which either fail to take into account the performance issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general introduction to the relevant Semantic Web standards, he presents specialized indexing and sorting algorithms, adapted approaches for logical and physical query optimization, optimization possibilities when using the parallel database technologies of today’s multicore processors, and visual and embedded query languages. Groppe primarily targets researchers, students, and developers of large-scale Semantic Web applications. On the complementary book webpage readers will find additional material, such as an online demonstration of a query engine, and exercises, and their solutions, that challenge their comprehension of the topics presented.

Soft Computing Applications for Database Technologies: Techniques and Issues

Anbumani, K.
Soft Computing Applications for Database Technologies Techniques and Issues Book PDF

Author : Anbumani, K.
Publisher : IGI Global
Page : 347 pages
File Size : 40,8 Mb
Release : 2010-06-30
Category : Computers
ISBN : 9781605668154

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Soft Computing Applications for Database Technologies: Techniques and Issues by Anbumani, K. Pdf

The digital revolution and the explosive growth of the internet have helped the collection of huge amounts of useful data of diverse characteristics, which is a valuable and intangible asset in any business of today. This book treats the new, emerging discipline of soft computing, which exploits this data through tolerance for imprecision and uncertainty to achieve solutions for complex problems. Soft computing methodologies include fuzzy sets, neural networks, genetic algorithms, Bayesian belief networks and rough sets, which are explored in detail through case studies and in-depth research. The advent of soft computing marks a significant paradigm shift in computing, with a wide range of applications and techniques which are presented and discussed in the chapters of this book.