DocumentCode :
3675969
Title :
Constructing Scalable Data-Flows on Hadoop with Legacy Components
Author :
Rainer Schmidt;Matthias Rella;Sven Schlarb
Author_Institution :
AIT Austrian Inst. of Technol. GmbH, Vienna, Austria
fYear :
2015
Firstpage :
283
Lastpage :
283
Abstract :
ToMaR provides a flexible application for integrating existing software into data-flow applications that execute on top of a MapReduce-based environment. The application supports a Linux-inspired pipes-and-filter based syntax, the execution of existing applications using file and stream based IO, and the efficient integration with existing data-flow frameworks like Apache Pig.
Keywords :
"Software","Data mining","Metadata","Conferences","Syntactics","Context","Aggregates"
Publisher :
ieee
Conference_Titel :
e-Science (e-Science), 2015 IEEE 11th International Conference on
Type :
conf
DOI :
10.1109/eScience.2015.16
Filename :
7304306
Link To Document :
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