Design and Management of Distributed Data Processing
Author : Muhammad Idrees
Publisher : Blackwell Publishers
Page : 302 pages
File Size : 16,12 MB
Release : 1990
Category : Computers
ISBN :
Author : Muhammad Idrees
Publisher : Blackwell Publishers
Page : 302 pages
File Size : 16,12 MB
Release : 1990
Category : Computers
ISBN :
Author : M. Tamer Özsu
Publisher : Springer Science & Business Media
Page : 856 pages
File Size : 19,15 MB
Release : 2011-02-24
Category : Computers
ISBN : 1441988343
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 : Saeed K. Rahimi
Publisher : John Wiley & Sons
Page : 692 pages
File Size : 14,78 MB
Release : 2015-02-13
Category : Computers
ISBN : 1118043537
This book addresses issues related to managing data across a distributed database system. It is unique because it covers traditional database theory and current research, explaining the difficulties in providing a unified user interface and global data dictionary. The book gives implementers guidance on hiding discrepancies across systems and creating the illusion of a single repository for users. It also includes three sample frameworks—implemented using J2SE with JMS, J2EE, and Microsoft .Net—that readers can use to learn how to implement a distributed database management system. IT and development groups and computer sciences/software engineering graduates will find this guide invaluable.
Author : James Martin
Publisher : Prentice Hall
Page : 656 pages
File Size : 13,31 MB
Release : 1981
Category : Computers
ISBN : 9780132016575
The revolutionary change in data processing; The impact of distributed processing on organization; Forms of distributed processing; Strategy; Design of distributed data; Software and network strategy; Security and auditability.
Author : Michael P. Mariani
Publisher : North Holland
Page : 248 pages
File Size : 50,26 MB
Release : 1984
Category : Electronic data processing
ISBN :
Author : Jacob Akoka
Publisher : North-Holland
Page : 316 pages
File Size : 49,91 MB
Release : 1982
Category : Computers
ISBN :
Author : Chhanda Ray
Publisher : Pearson Education India
Page : 328 pages
File Size : 28,7 MB
Release : 2009
Category : Computers
ISBN : 9788131727188
Distributed Database Systems discusses the recent and emerging technologies in the field of distributed database technology. The material is up-to-date, highly readable, and illustrated with numerous practical examples. The mainstream areas of distributed database technology, such as distributed database design, distributed DBMS architectures, distributed transaction management, distributed concurrency control, deadlock handling in distributed systems, distributed recovery management, distributed query processing and optimization, data security and catalog management, have been covered in detail. The popular distributed database systems, SDD-1 and R*, have also been included.
Author : Lena Wiese
Publisher : Walter de Gruyter GmbH & Co KG
Page : 468 pages
File Size : 47,39 MB
Release : 2015-10-29
Category : Computers
ISBN : 3110433079
Advanced data management has always been at the core of efficient database and information systems. Recent trends like big data and cloud computing have aggravated the need for sophisticated and flexible data storage and processing solutions. This book provides a comprehensive coverage of the principles of data management developed in the last decades with a focus on data structures and query languages. It treats a wealth of different data models and surveys the foundations of structuring, processing, storing and querying data according these models. Starting off with the topic of database design, it further discusses weaknesses of the relational data model, and then proceeds to convey the basics of graph data, tree-structured XML data, key-value pairs and nested, semi-structured JSON data, columnar and record-oriented data as well as object-oriented data. The final chapters round the book off with an analysis of fragmentation, replication and consistency strategies for data management in distributed databases as well as recommendations for handling polyglot persistence in multi-model databases and multi-database architectures. While primarily geared towards students of Master-level courses in Computer Science and related areas, this book may also be of benefit to practitioners looking for a reference book on data modeling and query processing. It provides both theoretical depth and a concise treatment of open source technologies currently on the market.
Author : Kasun Indrasiri
Publisher : "O'Reilly Media, Inc."
Page : 314 pages
File Size : 38,37 MB
Release : 2021-05-17
Category : Computers
ISBN : 1492090689
With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems
Author : Hamish Donaldson
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 20,74 MB
Release : 1979
Category : Computers
ISBN : 9780470268896