Green Big Data: A Green IT/Green IS Perspective on Big Data
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
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 language | English |
|---|---|
| Title of host publication | Information Technologies in Environmental Engineering : Selected Contributions to the Sixth International Conference on Information Technologies in Environmental Engineering (ITEE2013) |
| Editors | Burkhardt Funk, Peter Niemeyer, Jorge Marx Gómez |
| Number of pages | 10 |
| Place of Publication | Berlin, Heidelberg |
| Publisher | Springer |
| Publication date | 2014 |
| Pages | 67-76 |
| ISBN (print) | 978-3-642-36010-7 |
| ISBN (electronic) | 978-3-642-36011-4 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 6th International Conference on Information Technologies in Environmental Engineering - ITEE2013 - Lüneburg , Germany Duration: 01.07.2013 → 12.07.2013 Conference number: 6 |
- Business informatics - Environmental Management Information System (EMIS), Hadoop Distributed File System (HDFS), Life Cycle Inventory Analysis, Product Environmental Impact, Product Carbon Footprint