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Development of an Industrial Service with Big Data and Cloud Computing

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Luotojarvi, Mika
dc.contributor.author Vu, Tuan
dc.date.accessioned 2015-06-23T11:06:18Z
dc.date.available 2015-06-23T11:06:18Z
dc.date.issued 2015-06-10
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/16676
dc.description.abstract Big Data and Cloud Computing are emerging as a new trend in the knowledge industry. Big Data has enabled competitive advantages that many technology firms want to possess. And Cloud Computing has been used to address the significant investment requirements that Big Data requires. Supported by leading organizations in IT industry, Big Data and Cloud Computing adoption have been significant in the recent years. This thesis explores a way that organizations can develop and deliver Big Data application on the Cloud. As a part of the Tekes funded project named SGEM, this is a pilot study to deploy Big Data and Cloud Computing technology in the context that Case Company is developing an asset management service for Target Customer. The service analyzes disturbance records in the electricity distribution network of the Target Customer and combines weather and geographical data to assist maintenance decisions. In this thesis, an overview of Big Data and Cloud Computing technology and possible business models for Cloud Computing will be thoroughly described. The viability of its implementation process will also be analytically examined. In the case study, Big Data and Cloud Computing will be deployed in the industrial context that then lead to a proposal of novel approach to solve Target Customer’s problems. The application is tested against data from one medium-voltage substation between 2011 and 2014 and is verified against field tests between 16 to 19 on April 2012. The collective data in this thesis assure the feasibility of this emerging technology to be implemented in service industry. The case study demonstrates an optimal workflow that can be practically applied in real life situations. Finally, it reveals opportunities for further research in Big Data and Cloud Computing area. en
dc.description.abstract N/A fi
dc.format.extent 67+17
dc.language.iso en en
dc.title Development of an Industrial Service with Big Data and Cloud Computing en
dc.title N/A fi
dc.type G2 Pro gradu, diplomityö en
dc.contributor.school Perustieteiden korkeakoulu fi
dc.subject.keyword industrial service en
dc.subject.keyword cloud computing en
dc.subject.keyword big data en
dc.subject.keyword software development en
dc.identifier.urn URN:NBN:fi:aalto-201506303509
dc.programme.major Service Management and Engineering en
dc.programme.mcode IL3007 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Holmström , Jan
dc.programme Master’s Degree Programme in Service Management and Engineering (SME) fi
dc.ethesisid Aalto 9251
dc.location P1
local.aalto.openaccess no
dc.rights.accesslevel closedAccess
local.aalto.idinssi 51917
dc.type.publication masterThesis
dc.type.okm G2 Pro gradu, diplomityö

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