AN UNSTRUCTURED DATA MANAGEMNET SYSTEM USING NO-SQL DATABASE

Unstructured data is information that is not arranged according to any preset data model or schema, and therefore cannot be stored in a traditional relational database system because there’s no certain criteria for query. Traditional SQL based systems use relational tables to store data. the problem with these traditional solutions is that it cannot work with unorganized, unstructured data like media files. Our framework introduces a new logical schema for MongoDB’s document database system that uses no-SQL document database. From small businesses to professionals this system can provide data management to anyone who needs to keep digital records. This data system does not require any structure of data nor it has any relational tables. It is the future of data storage and retrieval because of the ability to receive and store data as it is generated. The proposed logical schema can analyze unstructured data to generate various user requested parameters. Its graphical user interface is created using React – A JavaScript library, which creates a highly dynamic and volatile user interface. The planned integration of artificial intelligence will unlock even more possibilities. We have decided to name the system MIN2.0 which is short for Minimizer 2.0.