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Moving Hadoop to the cloud for big data analytics

  • Hadoop is a Java-based open source programming framework, which supports the processing and storage of large volumes of data sets in a distributed computing environment. On the other hand, an overwhelming majority of organizations are moving their big data processing and storing to the cloud to take advantage of cost reduction – the cloud eliminates the need for investing heavily in infrastructures, which may or may not be used by organizations. This paper shows how organizations can alleviate some of the obstacles faced when trying to make Hadoop run in the cloud.

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Author:Irina Astrova, Arne KoschelGND, Felix HeineGND, Ahto Kalja
URN:urn:nbn:de:bsz:960-opus4-15559
DOI original:https://doi.org/10.3233/978-1-61499-941-6-195
Parent Title (English):Databases and Information Systems X - Selected Papers from the Thirteenth International Baltic Conference, DB&IS 2018, Trakai, Lithuania, July 1-4, 2018
Document Type:Conference Proceeding
Language:English
Year of Completion:2019
Publishing Institution:Hochschule Hannover
Release Date:2020/01/09
Tag:Big Data Analytics; Education; MapReduce; OpenStack; PageRank; Pregel; Shortest Path; Word Counting
GND Keyword:Hadoop; Big Data; Cloud Computing
First Page:195
Last Page:209
Link to catalogue:1687331618
Institutes:Fakultät IV - Wirtschaft und Informatik
DDC classes:004 Informatik
Licence (German):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International