Preprocessing Solutions for Telecommunication Specific Big Data Use Cases

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Kekolahti, Pekka Jony, Rabiul 2014-03-06T08:57:41Z 2014-03-06T08:57:41Z 2014-02-10
dc.description.abstract Big data is becoming important in mobile data analytics. The increase of networked devices and applications means that more data is being collected than ever before. All this has led to an explosion of data which is providing new opportunities to business and science. Data analysis can be divided in two steps, namely preprocessing and actual processing. Successful analysis requires advanced preprocessing capabilities. Functional needs for preprocessing include support of many data types and integration to many systems, fit for both off-line and on-line data analysis, filtering out unnecessary information, handling missing data, anonymization, and merging multiple data sets together. As a part of the thesis, 20 experts were interviewed to shed understanding on big data, its use cases, data preprocessing, feature requirements and available tools. This thesis investigates on what is big data, and how the organizations, especially telecommunications industry can gain benefit out of it. Furthermore, preprocessing as a part of value chain is presented and the preprocessing requirements are sorted. Finally, The available data analysis tools are surveyed and tested to find out the most suitable preprocessing solution. This study presents two findings as results. Firstly, it identifies the potential big data use cases and corresponding functional requirements for telecom industry based on literature review and conducted interviews. Secondly, this study distinguishes two most promising tools for big data preprocessing based on the functional requirements, preliminary testing and hands-on testing. en
dc.format.extent 65+35
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Preprocessing Solutions for Telecommunication Specific Big Data Use Cases en
dc.type G2 Pro gradu, diplomityö en Sähkötekniikan korkeakoulu fi
dc.subject.keyword Big data en
dc.subject.keyword Data preprocesing en
dc.subject.keyword Data value chain en
dc.subject.keyword Big data in telecom industry en
dc.subject.keyword Preprocessig tools. en
dc.identifier.urn URN:NBN:fi:aalto-201403061515
dc.programme.major Radio Communications fi
dc.programme.mcode S3019 fi
dc.type.ontasot Diplomityö fi
dc.type.ontasot Master's thesis en
dc.contributor.supervisor Hämmäinen, Heikki
dc.programme TLT - Master’s Programme in Communications Engineering fi
dc.location P1 fi

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