knowledge management with big data creating new possibilities for organizations. The design and implementation of modern column-oriented database systems.
GARTNER HYPE CYCLE 2016 BIG DATA SOFTWARE
International Journal of Advanced Research in Computer Science and Software Engineering. Growth of New Databases & Analysis of NOSQL Datastores. Systems independently of their specific technical details. Our experiments show that the proposed logical model can be effectively implemented in different columnoriented We provideĮxperiments of our approach using a case study example taken from the health care domain. Logical model that limits the impacts related to technical aspects of column-oriented platforms. To ensure efficient automatic transformation, we use a QVT to generate a column-oriented NoSQL model. Starting fromĪ conceptual model that describes a set of complex objects, we propose transformation rules formalized with For this, we use the Modelĭriven Architecture (MDA) that provides a framework for models automatic transformation.
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In this paper, we show how to store Big Data within NoSQL systems. But, there is still a need for a conceptual model to define how data will be structured in theĭatabase. NoSQL data stores are becoming widely used to handle Big Data these databases operate on schema-lessĭata model enabling users to incorporate new data into their applications without using a predefined In 2014, Big Data has passed the top of the Gartner Hype Cycle, proving that Big Data technologies andĪpplication start to be mature, becoming more realistic about how Big Data can be useful for organizations. SCITEPRESS - SCIENCE AND TECHNOLOGY PUBLICATIONS Big Data and Knowledge Management: How to Implement Conceptual Models in NoSQL Systems?įatma Abdelhedi, Amal Ait Brahim, Faten Atigui, Gilles Zurfluh Abstract
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