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» Data Wrangling for Big Data: Challenges and Opportunities
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EDBT
2016
ACM
106views Database» more  EDBT 2016»
3 years 7 months ago
Data Wrangling for Big Data: Challenges and Opportunities
Data wrangling is the process by which the data required by an application is identified, extracted, cleaned and integrated, to yield a data set that is suitable for exploration ...
Tim Furche, Georg Gottlob, Leonid Libkin, Giorgio ...
DASFAA
2013
IEEE
186views Database» more  DASFAA 2013»
5 years 6 months ago
From Big Data to Big Data Mining: Challenges, Issues, and Opportunities
While “big data” has become a highlighted buzzword since last year, “big data mining”, i.e., mining from big data, has almost immediately followed up as an emerging, interr...
Dunren Che, Mejdl S. Safran, Zhiyong Peng
EUROPAR
2014
Springer
5 years 6 months ago
Understanding Vertical Scalability of I/O Virtualization for MapReduce Workloads: Challenges and Opportunities
Abstract. As the explosion of data sizes continues to push the limits of our abilities to efficiently store and process big data, next generation big data systems face multiple ch...
Bogdan Nicolae
EDBT
2016
ACM
63views Database» more  EDBT 2016»
3 years 7 months ago
Big Data Provenance: State-Of-The-Art Analysis and Emerging Research Challenges
This paper focuses the attention on big data provenance issues, and provides a comprehensive survey on state-of-theart analysis and emerging research challenges in this scientifi...
Alfredo Cuzzocrea
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