A Comparison of NoSQL and SQL Databases over the Hadoop and Spark Cloud Platforms Using Machine Learning Algorithms

Chao Hsien Lee; Zhe Wei Shih

doi:10.1109/ICCE-China.2018.8448621

A Comparison of NoSQL and SQL Databases over the Hadoop and Spark Cloud Platforms Using Machine Learning Algorithms

Chao Hsien Lee
, Zhe Wei Shih

電子工程系

研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審

5 引文斯高帕斯（Scopus）

摘要

Machine learning (ML) algorithms have been widely applied to data analytics and prediction. This paper extends our previous work, which proposed how to automatically convert data from the traditional SQL database to the new NoSQL database, to support the entity-relationship (ER) model. Based on our experimental results over two different cloud platforms, the NoSQL database can always provide better performance than the SQL database while executing ML algorithms.

原文	English
主出版物標題	2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（列印）	9781538663011
DOIs	https://doi.org/10.1109/ICCE-China.2018.8448621
出版狀態	Published - 27 8月 2018
事件	5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 - Taichung, Taiwan 持續時間: 19 5月 2018 → 21 5月 2018

出版系列

名字	2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018

Conference

Conference	5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
國家/地區	Taiwan
城市	Taichung
期間	19/05/18 → 21/05/18

文獻附註

Publisher Copyright:
© 2018 IEEE.

存取文件

10.1109/ICCE-China.2018.8448621

其它文件與鏈接

Link to publication in Scopus

引用此

Lee, C. H., & Shih, Z. W. (2018). A Comparison of NoSQL and SQL Databases over the Hadoop and Spark Cloud Platforms Using Machine Learning Algorithms. 於 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 文章 8448621 (2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-China.2018.8448621

Lee, Chao Hsien ; Shih, Zhe Wei. / A Comparison of NoSQL and SQL Databases over the Hadoop and Spark Cloud Platforms Using Machine Learning Algorithms. 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018).

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title = "A Comparison of NoSQL and SQL Databases over the Hadoop and Spark Cloud Platforms Using Machine Learning Algorithms",

abstract = "Machine learning (ML) algorithms have been widely applied to data analytics and prediction. This paper extends our previous work, which proposed how to automatically convert data from the traditional SQL database to the new NoSQL database, to support the entity-relationship (ER) model. Based on our experimental results over two different cloud platforms, the NoSQL database can always provide better performance than the SQL database while executing ML algorithms.",

author = "Lee, \{Chao Hsien\} and Shih, \{Zhe Wei\}",

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Lee, CH & Shih, ZW 2018, A Comparison of NoSQL and SQL Databases over the Hadoop and Spark Cloud Platforms Using Machine Learning Algorithms. 於 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018., 8448621, 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018, Institute of Electrical and Electronics Engineers Inc., 5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018, Taichung, Taiwan, 19/05/18. https://doi.org/10.1109/ICCE-China.2018.8448621

A Comparison of NoSQL and SQL Databases over the Hadoop and Spark Cloud Platforms Using Machine Learning Algorithms. / Lee, Chao Hsien; Shih, Zhe Wei.
2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8448621 (2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018).

研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審

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N2 - Machine learning (ML) algorithms have been widely applied to data analytics and prediction. This paper extends our previous work, which proposed how to automatically convert data from the traditional SQL database to the new NoSQL database, to support the entity-relationship (ER) model. Based on our experimental results over two different cloud platforms, the NoSQL database can always provide better performance than the SQL database while executing ML algorithms.

AB - Machine learning (ML) algorithms have been widely applied to data analytics and prediction. This paper extends our previous work, which proposed how to automatically convert data from the traditional SQL database to the new NoSQL database, to support the entity-relationship (ER) model. Based on our experimental results over two different cloud platforms, the NoSQL database can always provide better performance than the SQL database while executing ML algorithms.

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 19 May 2018 through 21 May 2018

ER -

Lee CH, Shih ZW. A Comparison of NoSQL and SQL Databases over the Hadoop and Spark Cloud Platforms Using Machine Learning Algorithms. 於 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8448621. (2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018). doi: 10.1109/ICCE-China.2018.8448621

A Comparison of NoSQL and SQL Databases over the Hadoop and Spark Cloud Platforms Using Machine Learning Algorithms

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