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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/14782
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dc.contributor.authorMahapatra, Tanmaya-
dc.date.accessioned2024-05-09T03:56:59Z-
dc.date.available2024-05-09T03:56:59Z-
dc.date.issued2019-11-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2665963819300077-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/14782-
dc.description.abstractaFlux is a graphical flow-based programming tool designed to support the modelling of data analytics applications. It supports high-level programming of Big Data applications with early-stage flow validation and automatic code generation for frameworks like Spark, Flink, Pig and Hive. The graphical programming concepts used in aFlux constitute the first approach towards supporting high-level Big Data application development by making it independent of the target Big Data frameworks. This programming at a higher level of abstraction helps to lower the complexity and its ensued learning curve involved in the development of Big Data applications.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectComputer Scienceen_US
dc.subjectFlow-Based Programmingen_US
dc.subjectGraphical Pipelinesen_US
dc.subjectMashup toolsen_US
dc.subjectGraphical Spark Programmingen_US
dc.subjectGraphical Flink programmingen_US
dc.titleaFlux: Graphical flow-based data analyticsen_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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