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A guide in the Big Data jungle
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This bachelor thesis looks at the functionality of different frameworks for data analysis atlarge scale and the purpose of it is to serve as a guide among available tools. The amount ofdata that is generated every day keep growing and for companies to take advantage of thedata they collect they need to know how to analyze it to gain maximal use out of it. Thechoice of platform for this analysis plays an important role and you need to look in to thefunctionality of the different alternatives that are available. We have created a guide to makethis research easier and less time consuming. To evaluate our work we created a summaryand a survey which we asked a number of ITstudents,current and previous, to take part in.After analyzing their answers we could see that most of them find our thesis interesting andinformative.

Place, publisher, year, edition, pages
2015.
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-1057OAI: oai:DiVA.org:bth-1057DiVA, id: diva2:826954
Subject / course
PA1418 Bachelor's Thesis - Large Team Software Engineering Project
Educational program
PAGIP International Software Engineering
Available from: 2015-06-29 Created: 2015-06-26 Last updated: 2018-01-11Bibliographically approved

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fulltext(4300 kB)2297 downloads
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf