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

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

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). ed. / Burkhardt Funk; Peter Niemeyer; Jorge Marx Gómez. Berlin, Heidelberg: Springer, 2014. p. 67-76.

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

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 (eds), Information Technologies in Environmental Engineering: Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013). Springer, Berlin, Heidelberg, pp. 67-76, 6th International Conference on Information Technologies in Environmental Engineering - ITEE2013 , Lüneburg , Germany, 01.07.13. https://doi.org/10.1007/978-3-642-36011-4_6

APA

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 (Eds.), Information Technologies in Environmental Engineering: Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013) (pp. 67-76). Springer. https://doi.org/10.1007/978-3-642-36011-4_6

Vancouver

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, editors, Information Technologies in Environmental Engineering: Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013). Berlin, Heidelberg: Springer. 2014. p. 67-76 doi: 10.1007/978-3-642-36011-4_6

Bibtex

@inbook{868b72f2a65c4d63821e82ae56d5827e,
title = "Green Big Data: A Green IT/Green IS Perspective on Big Data",
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.",
keywords = "Business informatics, Big Data, Green IT, Green IS, Environmental Management Information System (EMIS), Hadoop Distributed File System (HDFS), Life Cycle Inventory Analysis, Product Environmental Impact, Product Carbon Footprint",
author = "Thomas Hansmann and Burkhardt Funk and Peter Niemeyer",
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",
year = "2014",
doi = "10.1007/978-3-642-36011-4_6",
language = "English",
isbn = "978-3-642-36010-7",
pages = "67--76",
editor = "Burkhardt Funk and Peter Niemeyer and G{\'o}mez, {Jorge Marx}",
booktitle = "Information Technologies in Environmental Engineering",
publisher = "Springer",
address = "Germany",

}

RIS

TY - CHAP

T1 - Green Big Data: A Green IT/Green IS Perspective on Big Data

AU - Hansmann, Thomas

AU - Funk, Burkhardt

AU - Niemeyer, Peter

N1 - Conference code: 6

PY - 2014

Y1 - 2014

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

SP - 67

EP - 76

BT - Information Technologies in Environmental Engineering

A2 - Funk, Burkhardt

A2 - Niemeyer, Peter

A2 - Gómez, Jorge Marx

PB - Springer

CY - Berlin, Heidelberg

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

Y2 - 1 July 2013 through 12 July 2013

ER -