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  • Open Access

    ARTICLE

    Handling Big Data in Relational Database Management Systems

    Kamal ElDahshan1, Eman Selim2, Ahmed Ismail Ebada2, Mohamed Abouhawwash3,4, Yunyoung Nam5,*, Gamal Behery2

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5149-5164, 2022, DOI:10.32604/cmc.2022.028326

    Abstract Currently, relational database management systems (RDBMSs) face different challenges in application development due to the massive growth of unstructured and semi-structured data. This introduced new DBMS categories, known as not only structured query language (NoSQL) DBMSs, which do not adhere to the relational model. The migration from relational databases to NoSQL databases is challenging due to the data complexity. This study aims to enhance the storage performance of RDBMSs in handling a variety of data. The paper presents two approaches. The first approach proposes a convenient representation of unstructured data storage. Several extensive experiments were implemented to assess the efficiency… More >

  • Open Access

    ARTICLE

    Uniform Query Framework for Relational and NoSQL Databases

    J.B. Karanjekar1, M.B. Ch,ak2

    CMES-Computer Modeling in Engineering & Sciences, Vol.113, No.2, pp. 177-187, 2017, DOI:10.3970/cmes.2017.113.177

    Abstract As the data managed by applications has evolved over the years with the arrival of Web 2.0, a large number of new databases have been developed to manage various types of data. While the traditional relational databases continue to exist, NoSQL databases which are document oriented or key-value stores or columnar continue to evolve and are embraced very rapidly across the industry. It is not just the type of data handled by these databases that is different but also the query language they use is also different. This paper talks about a uniform query framework that can be used for… More >

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