TY  - JOUR
T1  - A Framework for Data Portability from Relational Database to Document Database
AU - Ramakrishnan, Nikitha AU - Singh, Monisha 
JO  - Asian Journal of Information Technology
VL  - 16
IS  - 2
SP  - 312
EP  - 316
PY  - 2017
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2017.312.316
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2017.312.316
KW  - NoSQL
KW  -data portability
KW  -key-value store
KW  -relational database
KW  -document database
KW  -eliminate
AB  - Cloud computing is advancing day by day. Several services are offered to the consumers by the cloud providers. The main challenge faced by any cloud consumers is the portability of data between the applications. It is difficult to move data from one application to another, since each application has different data models. In this study, a framework is proposed which transfers data from relational data model to key-value store and vice versa. Using the proposed framework one can easily convert, transform and exchange data between different data models. The research also performs evaluation methodology in order to show the efficiency of the system. The proposed system enables one to either minimize code modification or eliminate the need to modify the code.
ER  -