Green Big Data: A Green IT/Green IS Perspective on Big Data

Thomas Hansmann; Burkhardt Funk; Peter Niemeyer

doi:10.1007/978-3-642-36011-4_6

Green Big Data: A Green IT/Green IS Perspective on Big Data

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

Abstract

Big Data is recently used as a keyword to discuss technologies and methods which should enable the processing of big, fast growing, in many cases weak structured amounts of data, which cannot or limited be analysed with traditional approaches. This publication is aiming at the analysis of connections between concepts which are relevant in the context of Big Data and those, playing a role in Green IS in order to systematically utilize findings from the field of Big Data for Environmental Management Information Systems. We explore in a Green IT perspective, if already resource-efficient Big Data applications are discussed and in how far Big Data concepts can be applied for the design of resource-efficient business processes.

Originalsprache	Englisch
Titel	Information Technologies in Environmental Engineering : Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013)
Redakteure/-innen	Burkhardt Funk, Peter Niemeyer, Jorge Marx Gómez
Seitenumfang	10
Erscheinungsort	Berlin, Heidelberg
Herausgeber (Verlag)	Springer Verlag
Erscheinungsdatum	2014
Seiten	67-76
ISBN (Print)	978-3-642-36010-7
ISBN (elektronisch)	978-3-642-36011-4
DOIs	https://doi.org/10.1007/978-3-642-36011-4_6
Publikationsstatus	Erschienen - 2014
Veranstaltung	6th International Conference on Information Technologies in Environmental Engineering - ITEE2013 - Lüneburg , Deutschland Dauer: 01.07.2013 → 12.07.2013 Konferenznummer: 6

Bibliographische Notiz

Artikel ist auch in Deutscher Sprache mit dem Titel "Green Big Data: A GreenIT/Green IS Perspektive auf Big Data" erschienen.

Fachgebiete und Schlagwörter

Wirtschaftsinformatik
Big Data
Green IT
Green IS

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10.1007/978-3-642-36011-4_6

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Hansmann, T., Funk, B., & Niemeyer, P. (2014). Green Big Data: A Green IT/Green IS Perspective on Big Data. in B. Funk, P. Niemeyer, & J. M. Gómez (Hrsg.), Information Technologies in Environmental Engineering: Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013) (S. 67-76). Springer Verlag. https://doi.org/10.1007/978-3-642-36011-4_6

Hansmann, Thomas ; Funk, Burkhardt ; Niemeyer, Peter. / Green Big Data: A Green IT/Green IS Perspective on Big Data. Information Technologies in Environmental Engineering: Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013). Hrsg. / Burkhardt Funk ; Peter Niemeyer ; Jorge Marx Gómez. Berlin, Heidelberg : Springer Verlag, 2014. S. 67-76

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abstract = "Big Data is recently used as a keyword to discuss technologies and methods which should enable the processing of big, fast growing, in many cases weak structured amounts of data, which cannot or limited be analysed with traditional approaches. This publication is aiming at the analysis of connections between concepts which are relevant in the context of Big Data and those, playing a role in Green IS in order to systematically utilize findings from the field of Big Data for Environmental Management Information Systems. We explore in a Green IT perspective, if already resource-efficient Big Data applications are discussed and in how far Big Data concepts can be applied for the design of resource-efficient business processes.",

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note = "Artikel ist auch in Deutscher Sprache mit dem Titel {"}Green Big Data: A GreenIT/Green IS Perspektive auf Big Data{"} erschienen. ; 6th International Conference on Information Technologies in Environmental Engineering - ITEE2013 , ITEE2013 ; Conference date: 01-07-2013 Through 12-07-2013",

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Hansmann, T , Funk, B & Niemeyer, P 2014, Green Big Data: A Green IT/Green IS Perspective on Big Data. in B Funk, P Niemeyer & JM Gómez (Hrsg.), Information Technologies in Environmental Engineering: Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013). Springer Verlag, Berlin, Heidelberg, S. 67-76, 6th International Conference on Information Technologies in Environmental Engineering - ITEE2013 , Lüneburg , Deutschland, 01.07.13. https://doi.org/10.1007/978-3-642-36011-4_6

Green Big Data: A Green IT/Green IS Perspective on Big Data. / Hansmann, Thomas ; Funk, Burkhardt ; Niemeyer, Peter.
Information Technologies in Environmental Engineering: Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013). Hrsg. / Burkhardt Funk; Peter Niemeyer; Jorge Marx Gómez. Berlin, Heidelberg: Springer Verlag, 2014. S. 67-76.

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › Begutachtung

TY - CHAP

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AU - Funk, Burkhardt

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N2 - Big Data is recently used as a keyword to discuss technologies and methods which should enable the processing of big, fast growing, in many cases weak structured amounts of data, which cannot or limited be analysed with traditional approaches. This publication is aiming at the analysis of connections between concepts which are relevant in the context of Big Data and those, playing a role in Green IS in order to systematically utilize findings from the field of Big Data for Environmental Management Information Systems. We explore in a Green IT perspective, if already resource-efficient Big Data applications are discussed and in how far Big Data concepts can be applied for the design of resource-efficient business processes.

AB - Big Data is recently used as a keyword to discuss technologies and methods which should enable the processing of big, fast growing, in many cases weak structured amounts of data, which cannot or limited be analysed with traditional approaches. This publication is aiming at the analysis of connections between concepts which are relevant in the context of Big Data and those, playing a role in Green IS in order to systematically utilize findings from the field of Big Data for Environmental Management Information Systems. We explore in a Green IT perspective, if already resource-efficient Big Data applications are discussed and in how far Big Data concepts can be applied for the design of resource-efficient business processes.

KW - Business informatics

KW - Big Data

KW - Green IT

KW - Green IS

KW - Environmental Management Information System (EMIS)

KW - Hadoop Distributed File System (HDFS)

KW - Life Cycle Inventory Analysis

KW - Product Environmental Impact

KW - Product Carbon Footprint

U2 - 10.1007/978-3-642-36011-4_6

DO - 10.1007/978-3-642-36011-4_6

M3 - Article in conference proceedings

SN - 978-3-642-36010-7

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BT - Information Technologies in Environmental Engineering

A2 - Funk, Burkhardt

A2 - Niemeyer, Peter

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PB - Springer Verlag

CY - Berlin, Heidelberg

T2 - 6th International Conference on Information Technologies in Environmental Engineering - ITEE2013

Y2 - 1 July 2013 through 12 July 2013

ER -

Hansmann T , Funk B , Niemeyer P. Green Big Data: A Green IT/Green IS Perspective on Big Data. in Funk B, Niemeyer P, Gómez JM, Hrsg., Information Technologies in Environmental Engineering: Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013). Berlin, Heidelberg: Springer Verlag. 2014. S. 67-76 doi: 10.1007/978-3-642-36011-4_6

Green Big Data: A Green IT/Green IS Perspective on Big Data

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