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Storing and structuring big data with businessintelligence in mind
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Sectra has a customer database with approximately 1600 customers across the world. In this system there exists not only medical information but alsoinformation about the environment which the system runs in, usage  pattern and much more.

This report is about storing data received from log les into a suitable database. Sectra wants to be able to analyze this information so that they can make strategic decisions and get a better understanding of their customers' needs. The tested databases are MongoDB, Cassandra, and MySQL. The results shows that MySQL  is not suitable for storing large amount of data with the current conguration. On the other hand, both MongoDB and Cassandra performed well with the growing amount of data.

Place, publisher, year, edition, pages
2015. , 44 p.
Keyword [en]
NoSQL, Big Data, MongoDB, Cassandra, Business Intelligence
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-121452ISRN: LIU-IDA/LITH-EX-A--15/050--SEOAI: oai:DiVA.org:liu-121452DiVA: diva2:855243
External cooperation
Sectra Medical
Subject / course
Computer Engineering
Supervisors
Examiners
Available from: 2015-09-22 Created: 2015-09-20 Last updated: 2015-09-22Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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