Enriched E-R model to design hybrid database for big data solutions
|Title||Enriched E-R model to design hybrid database for big data solutions|
|Publication Type||Conference Proceedings|
|Year of Conference||2016|
|Authors||Villari, M.., A.. Celesti, M.. Giacobbe, and M.. Fazio|
|Conference Name||2016 IEEE Symposium on Computers and Communication (ISCC)|
|Keywords||Big Data, Data models, Databases, Hospitals, Medical diagnostic imaging, NoSQL, Object oriented modeling, SQL-like, Unified modeling language|
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 “big data” 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.