Efficient OR Hadoop: Why Not Both?
Abstract
In this article, we give an overview of research related to Big Data processing in Hadoop going on at the Information Systems Group at Saarland University. We discuss how to make Hadoop efficient. We briefly survey three of our projects in this context: Hadoop++, Trojan Layouts, and HAIL.
- Citation
- BibTeX
Dittrich, J., Richter, S. & Schuh, S.,
(2013).
Efficient OR Hadoop: Why Not Both?.
Datenbank-Spektrum: Vol. 13, No. 1.
Springer.
(S. 17-22).
DOI: 10.1007/s13222-012-0111-9
@article{mci/Dittrich2013,
author = {Dittrich, Jens AND Richter, Stefan AND Schuh, Stefan},
title = {Efficient OR Hadoop: Why Not Both?},
journal = {Datenbank-Spektrum},
volume = {13},
number = {1},
year = {2013},
,
pages = { 17-22 } ,
doi = { 10.1007/s13222-012-0111-9 }
}
author = {Dittrich, Jens AND Richter, Stefan AND Schuh, Stefan},
title = {Efficient OR Hadoop: Why Not Both?},
journal = {Datenbank-Spektrum},
volume = {13},
number = {1},
year = {2013},
,
pages = { 17-22 } ,
doi = { 10.1007/s13222-012-0111-9 }
}
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More Info
ISSN: 1610-1995
xmlui.MetaDataDisplay.field.date: 2013
Content Type: Text/Journal Article