List of Articles traditional data base

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  1 - A Database Selection Method and Migration Model for Big Data
  Mohammad Reza Ahmadi
  Development of infrastructure and public services, especially in cloud computing applications, databases and storage techniques in traditional patterns has serious limitations and challenges. Increasing development tools and data services created widespread need for sto More

  Development of infrastructure and public services, especially in cloud computing applications, databases and storage techniques in traditional patterns has serious limitations and challenges. Increasing development tools and data services created widespread need for storing large data processing activities from public, private and comprehensive social networks, the need for data migration to new databases with different characteristics become an inevitable task. In traditional models, digital data were stored in storage systems or in separated databases. But with the expansion of the size and composition of data and generation of large data structure, practices and traditional patterns is not acceptable for new needs and the use of storage systems in the new formats and models are essential. In this paper, we have studied the dimensions of database structure and functions of traditional and new storage systems together with technical solutions for migration from traditional structured databases to unstructured data are presented. At the end, main features of distributed storage systems compared with traditional models and their performance are presented. Manuscript profile
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  2 - Presenting a novel solution to choose a proper database for storing big data in national network services
  Mohammad Reza Ahmadi davood maleki ehsan arianyan
  The increasing development of tools producing data in different services and the need to store the results of large-scale processing results produced from various activities in the national information network services and also the data produced by the private sector an More

  The increasing development of tools producing data in different services and the need to store the results of large-scale processing results produced from various activities in the national information network services and also the data produced by the private sector and social networks, has made the migration to new databases solutions with appropriate features inevitable. With the expansion and change in the size and composition of data and the formation of big data, traditional practices and patterns do not meet new requirements. Therefore, the necessity of using information storage systems in new and scalable formats and models has become necessary. In this paper, the basic structural dimensions and different functions of both traditional databases and modern storage systems are reviewed and a new technical solution for migrating from traditional databases to modern databases is presented. Also, the basic features regarding the connection of traditional and modern databases for storing and processing data obtained from the comprehensive services of the national information network are presented and the parameters and capabilities of databases in the standard and Hadoop context are examined. In addition, as a practical example, a solution for combining traditional and modern databases has been presented, evaluated and compared using the BSC method. Moreover, it is shown that in different data sets with different data volumes, a combined use of both traditional and modern databases can be the most efficient solution. Manuscript profile