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Evaluating Data Management in IoT via MySQL & MongoDB Databases in Various Cloud Locations


Affiliations
1 Assistant Professor, Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India
2 Associate Professor, Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India
     

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The Data Management highlights on the repetition of saving, protection, in addition with documents firmly, proficiently, cost effectually. Handling numerical information in an institute comprises the wide variety of responsibilities, plans, measures, also performs. Here, an IoT presents the different contest designed for File Controlling Structures using DBMS. This IoT represents the huge statistics of a measuring device exist in a day-to-day survives. Such measuring devices produce the enormous quantity of an unrelated information which prerequisite towards handling of the apposite Database managements. Hence, the Internet of Things consumes such trial designed for database by estimating just towards to stock plus influence the enormous expanse of the mixed documents. Database Management is branded addicted to double leading categories: An Interpersonal Data management (DBMS), Non-Interpersonal Data management (RDBMS). Thus, it targets towards delivering the qualified assessment of the double prevalent exposed basis information management: Interpersonal management (i.e) Relational Database management belongs to the MySQL functions whereas Non-interpersonal management (i.e) Non-relational Database Management belongs NoSQL functions such as MongoDB.

Keywords

MySQL, NoSQL, MongoDB, XAMPP,, Php My Admin, Cloud Computing, Relational & Non-relational DBMS, Internet of Things, DML, DCL, DDL
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  • . S.PalanivelRajan, T.Dinesh, “Analysis of Human Brain Disorders for Effectual Hippocampus Surveillance”, International Journal of Modern Sciences and Engineering Technology, Vol. 2, Issue 2, pp.38-45, 2015.

  • . A.Suganya and S.Jothimani, “Design of Multiple Input Multiple Output (MIMO) Antenna for Compact Wearable Applications” Bioscience Biotechnology Research Communications SPECIAL ISSUE 11NUMBER-2 (2018).

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  • Evaluating Data Management in IoT via MySQL & MongoDB Databases in Various Cloud Locations

Abstract Views: 295  |  PDF Views: 0

Authors

A. Suganya
Assistant Professor, Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India
S. Palanivel Rajan
Associate Professor, Department of Electronics and Communication Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India

Abstract


The Data Management highlights on the repetition of saving, protection, in addition with documents firmly, proficiently, cost effectually. Handling numerical information in an institute comprises the wide variety of responsibilities, plans, measures, also performs. Here, an IoT presents the different contest designed for File Controlling Structures using DBMS. This IoT represents the huge statistics of a measuring device exist in a day-to-day survives. Such measuring devices produce the enormous quantity of an unrelated information which prerequisite towards handling of the apposite Database managements. Hence, the Internet of Things consumes such trial designed for database by estimating just towards to stock plus influence the enormous expanse of the mixed documents. Database Management is branded addicted to double leading categories: An Interpersonal Data management (DBMS), Non-Interpersonal Data management (RDBMS). Thus, it targets towards delivering the qualified assessment of the double prevalent exposed basis information management: Interpersonal management (i.e) Relational Database management belongs to the MySQL functions whereas Non-interpersonal management (i.e) Non-relational Database Management belongs NoSQL functions such as MongoDB.

Keywords


MySQL, NoSQL, MongoDB, XAMPP,, Php My Admin, Cloud Computing, Relational & Non-relational DBMS, Internet of Things, DML, DCL, DDL

References