Modeling and transformation from temporal object relational database into mongodb: Rules

Abstract

With such a big volume of data growing tremendously every day, and the storage of important volume of data becoming increasingly more flexible, NoSQL(Not only SQL or Non-Relational) database are designed to store a large amount of information and are growing for big data systems in web analytics. It an approach does not require any specific schema and avoid the use of the joins to store or retrieve the information. To ensure the availability and scalability many industries are now replacing their object relational database in many systems by adopting NoSQL database technology for e-business applications. It is document-oriented databases which help in grouping data more logically. This paper describes a disciplined approach of migration and proposes a model transformation from temporal Object relational database (TORDB) Into Mongo db. Also, this paper approach deals with a novel data integration methodology in order to manipulate and the store the varying time data in Json (Java Script Object Notation) documents.