INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES

A generalized system for mapping relational and non- relational (NoSQL) databases

Authors

  • Shaldanbayeva N.K.
  • Kalpeyeva Zh.B.

DOI:

https://doi.org/10.54309/IJICT.2020.1.1.013

Keywords:

Relational database, non-relational database, migration, horizontal scaling, Hadoop, Cassandra, Hbase, MongoDB, structured, unstructured, MySQL

Abstract

Nowadays systems for mapping relational and non-relational (NoSQL) databases are getting more and more popularity. Because today most businesses faced a reality, where they have to work with a big amount of data in order to make decisions that can affect to their place in the market. The data produced in todays world is growing day by day, which makes it hard to process and analyze it. Traditional relational databases cannot handle the work with big amount of data, while non-relational database is suiting more to work with it. Therefore it is important to make a generalized system which can map relational database to non-relational database. In this paper we introduce a novel methodology for migrating relational database to non-relational database based on two existing works.

Downloads

Download data is not yet available.

Downloads

Published

2021-07-19

How to Cite

Shaldanbayeva N.K., & Kalpeyeva Zh.B. (2021). A generalized system for mapping relational and non- relational (NoSQL) databases. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES, 1(1). https://doi.org/10.54309/IJICT.2020.1.1.013

Issue

Section

SOFTWARE DEVELOPMENT AND KNOWLEDGE ENGINEERING
Loading...