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Journal of Computer Sciences Institute
Article . 2024 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
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Analysis of data processing efficiency with use of Apache Hive and Apache Pig in Hadoop environment

Authors: Mikołaj Skrzypczyński; Piotr Muryjas;

Analysis of data processing efficiency with use of Apache Hive and Apache Pig in Hadoop environment

Abstract

The aim of this paper is the analysis of data processing efficiency with use of Apache Hive and Apache Pig in Hadoop environment. The analysis was based on comparison between both mentioned tools with use of large data set, represented by 28 million records. Research was provided with use of scripts and queries destined for Apache Hive and Apache Pig, and then executed 10 times on environment brought by created virtual machine. Those methods were performed on the same data sets for 16 times according to previously prepared research scenarios. As the conclusion, authors had observed that Apache Hive is more efficient tool, than Apache Pig.

Keywords

Hadoop, Electronic computers. Computer science, Apache Pig, Information technology, QA75.5-76.95, Apache Hive, T58.5-58.64, data processing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Published in a Diamond OA journal