@inproceedings{ba96e4241be4444987ff418723648e88,
title = "A review of modeling toolbox for BigData",
abstract = "Modeling tools and operators help the user / developer to identify the processing field on the top of the sequence and to send into the computing module only the data related to the requested result. The remaining data is not relevant and it will slow down the processing. The biggest challenge nowadays is to get high quality processing results with a reduced computing time and costs. The processing sequence must be reviewed on the top, so that we could add one or more modeling tools. The existing processing models do not take in consideration this aspect and focus on getting high calculation performances which will increase the computing time and costs. In this paper we provide you a study of the main modeling tools for BigData.",
keywords = "BigData, Data Modeling, MapReduce, NoSQL",
author = "Hadi Hashem and Daniel Ranc",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Conference on Military Communications and Information Systems, ICMCIS 2016 ; Conference date: 23-05-2016 Through 24-05-2016",
year = "2016",
month = jun,
day = "20",
doi = "10.1109/ICMCIS.2016.7496565",
language = "English",
series = "2016 International Conference on Military Communications and Information Systems, ICMCIS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 International Conference on Military Communications and Information Systems, ICMCIS 2016",
}