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

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


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.
Original languageEnglish
Title of host publicationInformation Technologies in Environmental Engineering : Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013)
EditorsBurkhardt Funk, Peter Niemeyer, Jorge Marx Gómez
Number of pages10
Place of PublicationBerlin, Heidelberg
Publication date2014
ISBN (Print)978-3-642-36010-7
ISBN (Electronic)978-3-642-36011-4
Publication statusPublished - 2014
Event6th International Conference on Information Technologies in Environmental Engineering - ITEE2013 - Lüneburg , Germany
Duration: 01.07.201312.07.2013
Conference number: 6

    Research areas

  • Business informatics - Environmental Management Information System (EMIS), Hadoop Distributed File System (HDFS), Life Cycle Inventory Analysis, Product Environmental Impact, Product Carbon Footprint