@proceedings {7543733,
	title = {Enriched E-R model to design hybrid database for big data solutions},
	journal = {2016 IEEE Symposium on Computers and Communication (ISCC)},
	year = {2016},
	month = {06/2016},
	pages = {163-166},
	publisher = {IEEE},
	address = {Messina, Italy},
	abstract = {<p class="rtejustify">Advances in database technologies are moving the attention of data managers from well known structured relational databases (SQL-Like DBs) towards NoSQL approaches, especially to address big data issues. However, changing technologies in consolidated data management system is hard and requires great investments. Deploying hybrid SQL-NoSQL approaches could be a good solution to speed up the transition in many domains and information systems, but a formal data model to design hybrid databases is necessary. This paper presents a new data model aimed at solving this issue. Starting from the well known E-R model, we introduce some additional components to identify data and {\textquotedblleft}big data{\textquotedblright} in the system, in order to drive the implementation of SQL-like solutions to manage data, and NoSQL solutions to manage big data. The paper also discusses a Hospital Information System use case, to clearly show how the proposed enriched E-R model can be successfully adopted.</p>
},
	keywords = {Big Data, Data models, Databases, Hospitals, Medical diagnostic imaging, NoSQL, Object oriented modeling, SQL-like, Unified modeling language},
	doi = {10.1109/ISCC.2016.7543733},
	author = {M. Villari and A. Celesti and M. Giacobbe and M. Fazio}
}
