Green Big Data: A Green IT/Green IS Perspective on Big Data
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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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, 2014. S. 67-76.Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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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 -