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dc.contributor.authorPokorny, Jaroslav
dc.contributor.authorStantic, Bela
dc.contributor.editorZ.M. Ma
dc.date.accessioned2018-04-26T04:11:48Z
dc.date.available2018-04-26T04:11:48Z
dc.date.issued2016
dc.identifier.isbn9781466698352
dc.identifier.doi10.4018/978-1-4666-9834-5.ch001
dc.identifier.urihttp://hdl.handle.net/10072/142833
dc.description.abstractThe development and extensive use of highly distributed and scalable systems to process Big Data have been widely considered. New data management architectures, e.g. distributed file systems and NoSQL databases, are used in this context. However, features of Big Data like their complexity and data analytics demands indicate that these concepts solve Big Data problems only partially. A development of so called NewSQL databases is highly relevant and even special category of Big Data Management Systems is considered. In this work we will discuss these trends and evaluate some current approaches to Big Data processing, identify the current challenges, and suggest possible research directions.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherIGI Global
dc.publisher.placeUnited States
dc.relation.ispartofbooktitleManaging Big Data in Cloud Computing Environments
dc.relation.ispartofchapter1
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto24
dc.subject.fieldofresearchData engineering and data science
dc.subject.fieldofresearchcode460501
dc.titleChallenges and Opportunities in Big Data Processing
dc.typeBook chapter
dc.type.descriptionB2 - Chapters (Other)
dc.type.codeB - Book Chapters
gro.hasfulltextNo Full Text
gro.griffith.authorStantic, Bela


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