Towards Efficient Big Data-Reference-Cited by-同舟云学术

Towards Efficient Big Data

Published:2018-10-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Smart Digital Environment
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Author:

Bahadi Jihane¹,El Asri Bouchra¹,Courtine Mélanie²,Rhanoui Maryem¹,Kergosien Yannick²

Affiliation:

1. ADMIR Laboratory, Rabat IT Center, ENSIAS, Mohammed V Souissi University, Rabat, Morocco

2. Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé, Université Paris 13, Bobigny, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3289100.3289108

Reference33 articles.

1. Tom , W. 2015. Hadoop: the definitive guide , Beijing : OReilly . Tom, W. 2015. Hadoop: the definitive guide, Beijing: OReilly.

2. Kamalpreet , S. and Ravinder , K . 2014. Hadoop: Addressing challenges of Big Data . 2014 IEEE International Advance Computing Conference (IACC) ( 2014 ). Kamalpreet, S. and Ravinder, K. 2014. Hadoop: Addressing challenges of Big Data. 2014 IEEE International Advance Computing Conference (IACC) (2014).

3. MapReduce;Jeffrey D.;Communications of the ACM,2008

4. Can U. Tolga E. and Yusuf K. 2015. Hadoop Ecosystem and Its Analysis on Tweets. Procedia - Social and Behavioral Sciences195 (2015) 1890--1897. Can U. Tolga E. and Yusuf K. 2015. Hadoop Ecosystem and Its Analysis on Tweets. Procedia - Social and Behavioral Sciences195 (2015) 1890--1897.

5. Mohd R. G. and Durgaprasad G. 2015. Hadoop MapReduce and HDFS: A Developers Perspective. Procedia Computer Science48 (2015) 45--50. Mohd R. G. and Durgaprasad G. 2015. Hadoop MapReduce and HDFS: A Developers Perspective. Procedia Computer Science48 (2015) 45--50.

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