• RATHIKA V

In the recent development of technologies, the existing structured databases are immature to handle the unstructured data. In view of this issue, most of the software application-based industries are upgrading or changing their databases. Most of the businesses are running lively and it is hard to shut down the database for many hours for data migration. It is noted that migrating big data from relational database to non-relational database is taking approximately ten to fifteen hours in real-time environment. This will be a tedious task for the enterprises. To address these issues, this research work is proposed to handle live data migration. The entity aware association technique is proposed to reduce the database downtime during the big data migration.

Big Data Migration, NoSQL Database, RDBMS, Map Reduce, Association Rule Mining.

"ENTITY AWARE ASSOCIATION RULE BASED BIG DATA MIGRATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.373-383, June 2019, Available :http://www.jetir.org/papers/JETIR1906Q52.pdf

"ENTITY AWARE ASSOCIATION RULE BASED BIG DATA MIGRATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp373-383, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Q52.pdf