Abstract
Big data shall mean the massive volume of data that could not be stored, processed and managed by any traditional database management systems. Big Data Analytics becoming a comprehensive research area today this has attracted to all academia and industry to extract knowledge and information from a large amount of data. Oracle SQL is a prominent DBMS and is used worldwide. As the data goes bigger the running time is increasing in Oracle SQL. With the help of Apache Hive, we can do a large scale of data analysis in minimal time period. Apache Hive expedites for reading, writing and managing big datasets in distributed environment using SQL. Whereas Oracle SQL provides integrated development domain for running queries and scripts. In this paper, we have taken few queries for analysis for some smaller data sets as well as larger data sets and we have done an analysis for both Apache Hive and Oracle SQL environment.
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Sethy, R., Dash, S.K., Panda, M. (2018). Performance Comparison Between Apache Hive and Oracle SQL for Big Data Analytics. In: Abraham, A., Cherukuri, A., Madureira, A., Muda, A. (eds) Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016). SoCPaR 2016. Advances in Intelligent Systems and Computing, vol 614. Springer, Cham. https://doi.org/10.1007/978-3-319-60618-7_14
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DOI: https://doi.org/10.1007/978-3-319-60618-7_14
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