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" NoSQL data models : "


Document Type : BL
Record Number : 840547
Title & Author : NoSQL data models : : trends and challenges /\ edited by Olivier Pivert.
Publication Statement : London :: ISTE Ltd. ;Hoboken, NJ :: John Wiley & Sons, Inc.,, 2018.
Series Statement : Computer engineering series: databases and big data set ;; volume 1
Page. NO : 1 online resource (278 pages)
ISBN : 1119528224
: : 1119544130
: : 1119544149
: : 9781119528227
: : 9781119544135
: : 9781119544142
: 1786303647
: 9781786303646
Bibliographies/Indexes : Includes bibliographical references.
Contents : NoSQL languages and systems -- Distributed SPARQL query processing : a case study with Apache Spark -- Doing web data : from dataset recommendation to data linking -- Big data integration in cloud environments : requirements, solutions and challenges -- Querying RDF data : a multigraph-based approach -- Fuzzy preference queries to NoSQL graph databases -- Relevant filtering in a distributed content-based publish/subscribe system.
Abstract : The topic of NoSQL databases has recently emerged, to face the Big Data challenge, namely the ever increasing volume of data to be handled. It is now recognized that relational databases are not appropriate in this context, implying that new database models and techniques are needed. This book presents recent research works, covering the following basic aspects: semantic data management, graph databases, and big data management in cloud environments. The chapters in this book report on research about the evolution of basic concepts such as data models, query languages, and new challenges regarding implementation issues.
Subject : Non-relational databases.
Subject : COMPUTERS-- Databases-- General.
Subject : Computers.
Dewey Classification : ‭005.74‬
LC Classification : ‭QA76.9.D26‬‭N67 2018‬
Added Entry : Pivert, Olivier
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