References
[1]. A.B.M. Moniruzzaman and S.A. Hossain, (2013).
“NoSQL Database: New Era of Databases for Big data
Analytics - Classification, Characteristics and
Comparison”. International Journal of Database Theory
and Application, Vol. 6, No. 4, pp. 1–14.
[2]. A. Ron, B. Sheba, and A. Shulman-peleg, (2015). “No
th SQL, No Injection? Examining NoSQL Security”. 8
International Conference on Databases, IEEE, California,
US.
[3]. B. Saraladevi, N. Pazhaniraja, P.V. Paul, M.S.S. Basha,
and P. Dhavachelvan, (2015). “Big Data and Hadoop-A
n d Study in Security Perspective”. 2 International
Symposium on Big Data and Cloud Computing, Vol. 50,
pp. 596–601.
[4]. C.-O. Truica, F. Radulescu, A. Boicea, and I. Bucur,
(2015). “Performance Evaluation for CRUD Operations in
Asynchronously Replicated Document Oriented
th Database”. 20 International Conference on Control
Systems and Computer Science, IEEE, pp. 191–196.
[5]. G. Aydin, I.R. Hallac, and B. Karakus, (2015).
“Architecture and implementation of a scalable sensor
data storage and analysis system using cloud computing
and big data technologies”. Hindawi Journal of Sensors,
Vol. 9, No. 02, pp. 1-11.
[6]. I.A.T. Hashem, I. Yaqoob, N. Badrul Anuar, S. Mokhtar, A. Gani, and S. Ullah Khan, (2014). “The rise of 'Big Data' on
cloud computing: Review and open research issues”.
Information Systems, Vol. 47, No. 7, pp. 98–115.
[7]. J. Pokorny, (2011). “NoSQL Databases: A step to
database scalability in Web environment”. International
Conference on WEB Information Systems, Vol. 9, No. 1,
pp. 69-82.
[8]. J.R. Lourenço, V. Abramova, M. Vieira, B. Cabral, and
J.B. Bernardino, (2015). “NOSQL databases: A software
engineering perspective”. Advances in Intelligent
Systems and Computing, Springer, Vol. 353, No. 6, pp.
741–750.
[9]. K. Barmpis and D.S. Kolovos, (2014). “Evaluation of
Contemporary Graph Databases for Efficient Persistence
of Large-Scale Models”. Journal of Object Technology,
Vol. 13, No. 3, pp. 1-26.
[10]. K. Chitra and B. Jeevarani, (2013). “Study on
Basically Available, Scalable and Eventually Consistent
NOSQL Databases”. International Journal of Advanced
Research in Computer Science and Software
Engineering, Vol. 3, No. 5, pp. 991–996.
[11]. K. Zvarevashe and T.T. Gotora, (2014). “A Random
Walk through the Dark Side of NoSQL Databases in Big
Data Analytics”. International Journal of Science and
Research, Vol. 3, No. 6, pp. 506-509.
[12]. Manoj V., (2014). “Comparative Study of NoSQL
Document, Column Store Databases and Evaluation of
Cassandra”. International Journal of Database
Management Systems, Vol. 6, No. 4, pp. 11–26.
[13]. P. Soni and N.S. Yadav, (2015). “Quantitative Analysis
of Document Stored Databases”. International Journal of
Computer Applications, Vol. 118, No. 20, pp. 37–41.
[14]. R. Aniceto and R. Xavier, (2015). “Evaluating the
Cassandra NoSQL Database Approach for Genomic
Data Persistency ”. Hindawi Publishing Corporation
International Journal of Genomics, Vol. 25, No. 03.
[15]. S. Kaisler, F. Armour, and J. A. Espinosa, (2014).
“Introduction to Big Data: Challenges, Opportunities, and
th Realities Minitrack”. 47 Hawaii International Conference
on System Sciences (HICSS), pp. 728–728.
[16]. S. Madden, (2012). “From Databases to Big Data”.
IEEE Computer Society, Vol. 16, No. 3, pp. 4–6.
[17]. S.S. Pore and S.B. Pawar, (2015). “Comparative Study
of SQL & NoSQL Databases”. International Journal of
Advanced Research in Computer Engineering &
Technology, Vol. 4, No. 5, pp. 1747–1753.
[18]. V. Abramova, J. Bernardino, and P. Furtado, (2014). “Which NoSQL Database? A Performance Overview”.
Open Journal of Databases, Vol. 1, No. 2, pp. 17–24.
[19]. V. Sharma and M. Dave, (2012). “SQL and NoSQL
Databases”. International Journal of Advanced Research
in Computer Science and Software Engineering, Vol. 2,
No. 8, pp. 20–27.
