Abstract
Data is increasing exponentially in the modern world which requires more proficiency from the available technologies of data storage and data processing. This continuous growth in the amount of structured, semi-structured, and unstructured data is called as big data. The storage and processing of big data through traditional relational database systems are not possible due to increased complexity and volume. Due to improved expertise of big data solutions in handling data, such as NoSQL caused the developers in the previous decade to start preferring big data databases, such as Apache Cassandra, MongoDB, and NoSQL. NoSQL is a modern database technology designed for fast read and write operations and provides horizontal scalability to store large amount of voluminous data. Large organizations face various challenges to shift their relational database framework to NoSQL database framework. In this paper, we proposed an approach to migrate the data from a relational database to the NoSQL database. We have specifically done transformation for Cassandra and MongoDB from MySQL database. The experiments show that the proposed approach successfully transforms the relational database to a big data database, and the performance analysis of such transformed databases shows that Cassandra database requires less storage space and offers a better performance.
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