Radhya Sahal*

Faculty of Computer Science and Engineering, Hodeidah University, Al Hudaydah, Yemen

*Corresponding Author: Radhya Sahal, Faculty of Computer Science and Engineering, Hodeidah University, Al Hudaydah, Yemen.

Received: December 20, 2021; Published: January 18, 2022

Abstract

Apache MapReduce is the most popular framework for batch data processing. However, despite its merits, the critical challenge of Apache MapReduce is rapidly handling queries over large scale data. This review aims to provide the state-of-the-art of Apache Hive, a famous language to handle big query data on Apache MapReduce.

Keywords: Query Processing; Apache MapReduce; Hive; HiveQL

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Citation

Citation: Radhya Sahal. “How Apache MapReduce Handles Big Data Query?". Acta Scientific Computer Sciences 4.2 (2022): 34-36.

Copyright

Copyright: © 2022 Radhya Sahal. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.