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A roadmap for big-data research and education
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0002-4031-2872
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0003-4250-4752
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
2015 (engelsk)Rapport (Annet vitenskapelig)
Abstract [en]

The research area known as big data is characterized by the 3 V’s, which are vol- ume; variety; and velocity. Recently, also veracity and value have been associated with big data and that adds up to the 5 V’s. Big data related information systems (IS) are typically highly distributed and scalable in order to handle the huge datasets in organizations. Data processing in such systems includes creation, retrieval, storage, analysis, presentation, visualization, and any other activity that is typical for IS sys- tems. Big data is often associated with business analytics, cloud services, or industrial systems.This document presents a brief overview of the state of the art in selected topics of big data research, with the purpose of providing input to a roadmap for research and education at Lule ̊a University of Technology (LTU). The selection of topics is based on assessments of where LTU can make an impact based on current and anticipated research strengths and position with industry (e.g., process industry, data centers and cloud application providers). Topics include distributed systems, mobility, Internet of Things, and advanced analytics.

sted, utgiver, år, opplag, sider
Luleå: Luleå tekniska universitet, 2015. , s. 10
Serie
Teknisk rapport / Luleå tekniska universitet, ISSN 1402-1536
HSV kategori
Forskningsprogram
Distribuerade datorsystem; Informationssystem; Intelligenta industriella processer (FOI); Möjliggörande IKT (FOI)
Identifikatorer
URN: urn:nbn:se:ltu:diva-24316Lokal ID: a77593be-a71c-4c7c-ae73-0cc30c31e50bISBN: 978-91-7583-275-3 (digital)OAI: oai:DiVA.org:ltu-24316DiVA, id: diva2:997368
Merknad
Godkänd; 2015; 20150325 (olov)Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2018-05-09bibliografisk kontrollert

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Schelén, OlovElragal, AhmedHaddara, Moutaz

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