基于Apache Hive和Apache Pig的心电大数据性能分析

2019 8th International Conference on Information and Communication Technologies (ICICT) Pub Date : 2019-11-01 DOI:10.1109/ICICT47744.2019.9001287

Mudassar Ahmad, Safina Kanwal, Maryam Cheema, Muhammad Asif Habib

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引用次数: 4

摘要

近年来，由于技术的进步，大数据被视为一场革命。检查大量、庞大、异构和多路数据集的过程被称为大数据分析。从复杂和多结构的数据中提取信息是传统方法无法实现的。Hadoop的两个关键要素，Apache Hive和Apache Pig是实现ECG大数据最系统、性价比最高的。Apache Pig和Apache Hive是用于用高级语言检查大量数据集的开源计划。在本研究中，使用Apache Hive和Apache Pig对心电大数据的各种数据集进行性能分析。通过对心电大数据不同参数的观察，结果表明Apache Pig相比于Apache Hive在更短的时间内提供更快的结果方面更加高效和系统化。

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Performance Analysis of ECG Big Data using Apache Hive and Apache Pig

Big Data has been observed as a revolution due to technological advancement since last few years. The process of examining the massive, gigantic, heterogeneous and multiplex datasets that are changing very often is called Big Data Analytics. Decision making by extracting information from complex and multi-structured data is not possible by using traditional means. Two keys elements of Hadoop, Apache Hive and Apache Pig are the most systematic and cost-effective for implementation of ECG Big Data. Apache Pig and Apache Hive are open source initiatives for examining huge sets of data in a high-level language. In this research, performance analysis of various datasets of ECG Big Data is performed by Apache Hive and Apache Pig. Different parameters of ECG Big Data have been observed and it is showed from results that Apache Pig has been considered more efficient and systematic in providing quick results in less time as compared to Apache Hive.

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2019 8th International Conference on Information and Communication Technologies (ICICT)

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