Data Modeling for Big Data

  • M Misbachul Huda ITS
  • Dian Rahma Latifa Hayun ITS
  • Zhin Martun ITS
DOI: https://doi.org/10.31937/si.v6i1.273

Abstract

Today the rapid growth of the internet and the massive usage of the data have led to the increasing CPU requirement, velocity for recalling data, a schema for more complex data structure management, the reliability and the integrity of the available data. This kind of data is called as Large-scale Data or Big Data. Big Data demands high volume, high velocity, high veracity and high variety. Big Data has to deal with two key issues, the growing size of the datasets and the increasing of data complexity. To overcome these issues, today researches are devoted to kind of database management system that can be optimally used for big data management. There are two kinds of database management system, relational database management system and nonrelational system that can be optimally used for big data management. There are two kinds of database management, Relational Database Management and Non-relational Database Management. This paper will give reviews about these two database management system, including description, vantage, structure and the application of each DBMS.

Index Terms - Big Data, DBMS, Large-scale Data, Non-relational Database, Relational Database.

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Published
2015-06-30
How to Cite
Huda, M. M., Hayun, D., & Martun, Z. (2015). Data Modeling for Big Data. Ultima InfoSys : Jurnal Ilmu Sistem Informasi, 6(1), 1-11. https://doi.org/https://doi.org/10.31937/si.v6i1.273
Issue
Vol 6 No 1 (2015): UltimaInfoSys :Jurnal Ilmu Sistem Informasi
Section
Articles
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