Review on Intelligent Data Engineering for Migration to NoSql based Secure Environment

In the increasing technology of today’s world, the data size is increasing exponentially, with variety of data being generated. Such an exponential growth of massive form of structured and unstructured data is termed as “Big Data�. The efficiency of handling of big data is increased by preferring big databases like Oracle, MongoDB, Cassandra, Neo4j and NoSQL. NoSQL provides scalability, high performance, data modeling and distribution, with continuous availability and overcomes the limitations of the relational database. It appears as challenge to many organizations to convert their existing database to NoSQL databases by preserving its complexity, integrity and heterogeneity. Along with big data comes the data cleansing operation. Here we apply an approach, which consist of two modules. The first module uses data transformation to convert relational database to Oracle NoSQL database through model transformation. The second phase consist of data cleansing operation. This proposed approach successfully converts relational database to Oracle NoSQL and quality of data is being improved due to data cleansing.