Big Data and Knowledge Management: How to Implement Conceptual Models in NoSQL Systems?

Abdelhédi, Fatma; Brahim, Amal Ait; Atigui, Faten; Zurfluh, Gilles

doi:10.5220/0006082302350240

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…Only six studies are adjusted to a standard such as the Unified Modeling Language (UML) and the other four propose the use of their own modeling language, like Chebokto diagrams, Graph Object Oriented Semi-Structured Data Model (GOOSDM), lightweight metamodel extensions and XML. Of the six studies that present their models with the use of the UML, two of them use it in the conceptual level model [35,45], one uses it in the conceptual and logical models [14] and three use it in all conceptual, logical and physical levels [32,34,42]. In general, the authors propose the below algorithm that takes a model as input, apply their own transformation rules and produce another model as output:…”

Section: Modeling Languagementioning

confidence: 99%

Modeling and Management Big Data in Databases—A Systematic Literature Review

2020

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The work presented in this paper is motivated by the acknowledgement that a complete and updated systematic literature review (SLR) that consolidates all the research efforts for Big Data modeling and management is missing. This study answers three research questions. The first question is how the number of published papers about Big Data modeling and management has evolved over time. The second question is whether the research is focused on semi-structured and/or unstructured data and what techniques are applied. Finally, the third question determines what trends and gaps exist according to three key concepts: the data source, the modeling and the database. As result, 36 studies, collected from the most important scientific digital libraries and covering the period between 2010 and 2019, were deemed relevant. Moreover, we present a complete bibliometric analysis in order to provide detailed information about the authors and the publication data in a single document. This SLR reveal very interesting facts. For instance, Entity Relationship and document-oriented are the most researched models at the conceptual and logical abstraction level respectively and MongoDB is the most frequent implementation at the physical. Furthermore, 2.78% studies have proposed approaches oriented to hybrid databases with a real case for structured, semi-structured and unstructured data.

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Section: Modeling Languagementioning

confidence: 99%

Modeling and Management Big Data in Databases—A Systematic Literature Review

2020

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“…Many researches on MDA and the process of transforming relational databases into a NoSQL model have been conducted in recent years. The most relevant are [3,[6][7][8][9][10]:…”

Section: Related Workmentioning

confidence: 99%

“…The purpose of the work [10] presented by Abdelhedi et al is to implement a conceptual model describing Big Data into NoSQL database and they choose to focus on column-oriented NoSQL model.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Toward Automatic Generation of Column-Oriented NoSQL Databases in Big Data Context

Esbai¹,

Elotmani²,

Belkadi³

2019

Int. J. Onl. Eng.

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<span>The growth of application architectures in all areas (e.g. Astrology, Meteorology, E-commerce, social network, etc.) has resulted in an exponential increase in data volumes, now measured in Petabytes. Managing these volumes of data has become a problem that relational databases are no longer able to handle because of the acidity properties. In response to this scaling up, new concepts have emerged such as NoSQL. In this paper, we show how to design and apply transformation rules to migrate from an SQL relational database to a Big Data solution within NoSQL. For this, we use the Model Driven Architecture (MDA) and the transformation languages like as MOF 2.0 QVT (Meta-Object Facility 2.0 Query-View-Transformation) and Acceleo which define the meta-models for the development of transformation model. The transformation rules defined in this work can generate, from the class diagram, a CQL code for creation column-oriented NoSQL database.</span>

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