Approaches used in efficient migration from Relational Database to NoSQL Database

Arati Koli, Swati Shinde

DOI: http://dx.doi.org/10.15439/2017R76

Citation: Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, Vijender Kumar Solanki, Vijay Bhasker Semwal, Rubén González Crespo, Vishwanath Bijalwan (eds). ACSIS, Vol. 10, pages 223–227 (2017)

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Abstract. now a days, the emerging software applications producing the large volume of data rapidly. Hence, sufficient management of such a large data is major challenge. The traditional relational databases are inefficient to handle such a dynamic data which would be in any form (i.e. structural, semi-structured or hybrid). The ever increasing data have pushed the centralized databases like oracle, MySQL, SQL server to their limits. So, the NoSQL databases are the new generation databases for tackling such a problem with terabyte to petabyte of datasets. Hence, many leading companies such as facebook, Amazon, eBay, foursquare and many more using NoSQL databases. Some companies' still using relational databases and they wish to move towards new technologies, this motivated us to study the approaches used for migration of databases from relational database to NoSQL database. There are different techniques in the literature introduced by people for such migration. This paper surveys different approaches used for Migration of structured database to un-structured database

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