Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4557
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dc.contributor.authorDuggirala, Siddharthaen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:34:50Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:34:50Z-
dc.date.issued2014-
dc.identifier.citationDuggirala, S. (2014). Big data architecture: Storage and computation. Handbook of research on cloud infrastructures for big data analytics (pp. 129-156) doi:10.4018/978-1-4666-5864-6.ch006en_US
dc.identifier.isbn9781466658653; 1466658649; 9781466658646-
dc.identifier.otherEID(2-s2.0-84960314322)-
dc.identifier.urihttps://doi.org/10.4018/978-1-4666-5864-6.ch006-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/4557-
dc.description.abstractWith the unprecedented increase in data sources, the question of how to collect them efficiently, effectively, and elegantly, store them securely and safely, leverage those stocked, polished, and maintained data in a smarter manner so that industry experts can plan ahead, take informed decisions, and execute them in a knowledgeable fashion remains. This chapter clarifies several pertinent questions and related issues with the unprecedented increase in data sources. © 2014 by IGI Global. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.sourceHandbook of Research on Cloud Infrastructures for Big Data Analyticsen_US
dc.subjectDigital storageen_US
dc.subjectData architecturesen_US
dc.subjectData-sourcesen_US
dc.subjectIndustry expertsen_US
dc.subjectInformed decisionen_US
dc.subjectBig dataen_US
dc.titleBig data architecture: Storage and computationen_US
dc.typeBook Chapteren_US
Appears in Collections:Department of Computer Science and Engineering

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