Abstract: For the last two decades, relational databases proved to be more powerful and superior because of features like clear semantics and easy to use .Structural data management support is provided by relational databases. However, in few past years development in IT sector put forward the concept of big data, which deals with extreme large volume and variety in data type and structures. To handle such big data, relational databases are not suitable because of strict constraints on data structure and data relations, and so on. On the other side, MongoDB is getting popular because of its capability in dealing with big data and complex structures. Currently there is no tool for the migration of relational databases to Mongo databases. This migration requires conversion of relational database query like SQL to NoSQL database query like MongoDB query. The modelling allows handling NoSQL data with structured query processing language.
Keywords: Algorithms, SQL, MongoDB, NoSQL, big data, Standardization, XML, JSON.
Title: SQL2MongoDB
Author: Diksha Koul, Devayani Pawar, Radhika Ranade, Vishakha Patil
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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