Currently, relational database management systems (Rdbmss)face different challenges in application development due to the massive growthof unstructured and semi-structured data. This introduced new DBMS categories, kn...
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Currently, relational database management systems (Rdbmss)face different challenges in application development due to the massive growthof unstructured and semi-structured data. This introduced new DBMS categories, known as not only structured query language (nosql) dbmss, whichdo not adhere to the relational model. The migration from relational databasesto nosql databases is challenging due to the data complexity. This study aimsto enhance the storage performance of Rdbmss in handling a variety of *** paper presents two approaches. The first approach proposes a convenientrepresentation of unstructured data storage. Several extensive experimentswere implemented to assess the efficiency of this approach that could resultin substantial improvements in the Rdbmss storage. The second approachproposes using the JavaScript Object Notation (JSON) format to representmultivalued attributes and many to many (M:N) relationships in relationaldatabases to create a flexible schema and store semi-structured data. Theresults indicate that the proposed approaches outperform similar approachesand improve data storage performance, which helps preserve software stabilityin huge organizations by improving existing software packages whose replacement may be highly costly.
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