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

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 script...

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Bibliographic Details
Main Authors: Mikołaj Skrzypczyński, Piotr Muryjas
Format: Article
Language:English
Published: Lublin University of Technology 2024-03-01
Series:Journal of Computer Sciences Institute
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Online Access:https://ph.pollub.pl/index.php/jcsi/article/view/4060
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Summary: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.
ISSN:2544-0764