Schema Proposition Model for NoSQL Applications

Imam, Abdullahi Abubakar; Basri, Shuib; Ahmad, Rohiza; González-Aparicio, María Teresa

doi:10.1007/978-3-319-99007-1_3

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…For this reason, a rules transformation between these two environments (PostgreSQL and MongoDB) is necessary (Fouad & Mohamed, 2019). A first approach was made considering the relational model developed and the system requirements (availability, consistency, scalability) as a whole, CRUD operations, entities and the number of records possible to process (Imam et al, 2019).…”

Section: Mapping Strategiesmentioning

confidence: 99%

Test model for database architectures: an assessment for job search engine systems

Jiménez¹,

Molina

2022

JART

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Data is a fundamental part of information and management systems; thus, controlling its complexity is an essential step nowadays. NoSQL databases adopt new approaches to data management differing from relational structures. For this study, two database systems are considered, MongoDB as a NoSQL data storage model and PostgreSQL as a relational data model, they are compared and evaluated on a job search system. For this purpose, a dataset was defined, and its representation was constructed in databases based on each technology. This process allowed the data modeling in terms of the best practices, then, the development of a test plan prepared the environment for the determination of the comparison metrics of both databases under the methodology specified by the International Software Testing Qualifications Board (ISTQB) and the types of database testing. This study determined that the SQL schema provides greater functionality, that ensures the support of transactions and data integrity, the opposite happened with the NoSQL schemas, resulting in more efficient but lacking functionalities that are characteristic and required for data representation of a consistent system.

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Section: Mapping Strategiesmentioning

confidence: 99%

Test model for database architectures: an assessment for job search engine systems

Jiménez¹,

Molina

2022

JART

View full text Add to dashboard Cite

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“…Atualmente já podem ser identificadas diversas tentativas de criação própria de uma modelagem conceitual, feitas em diversas partes do mundo, como por exemplo, o modelo proposto por Imam, Basri, Ahmad e Gonzáles-Aparicio [4], que propõe um modelo para bancos de dados orientados a documentos, assim como o DOT, uma linguagem descritiva de grafos desenvolvida pela empresa americana AT&T [27] Outra questão importante de ser abordada é a necessidade de uma modelagem conceitual que possa ser traduzida para diferentes modelos lógicos, isto é, um mesmo modelo que possua diferentes seções dele mesmo que representem diferentes modelos lógicos, como relacional, documento, grafo entre outros. Essa necessidade surge de grandes sistemas que usam mais de um tipo de banco de dados diferente, mas precisam ser representados em um único modelo.…”

Section: Situação Atualunclassified