Journal of Innovation in Computer Science and Engineering

  • Year: 2020
  • Volume: 9
  • Issue: 2

Analysing the Behaviour of Distributed Files in Hadoop for NoSQL Database against DML Queries

  • Author:
  • P. Rajyalakshmi1, K. Raghavendar2, P. Naresh3, C. Nagesh4
  • Total Page Count: 4
  • Page Number: 52 to 55

1Assistant Professor, Department of Computer Science and Engineering, CMR Engineering College, Hyderabad, Telangana, India, Email: pannangiraji@gmail.com

2Assistant Professor, Department of Computer Science and Engineering, Avanti’s Scientific Technological and Research Academy, Hyderabad, Telangana, India, raghavendark20@gmail.com

3Assistant Professor, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India, pannaninaresh@gmail.com

4Associate Professor, Tadipatri Engineering College, Tadipatri, Anantapuram, Andhra Pradesh, India, cnagesh.cse@gmail.com

Online published on 22 January, 2021.

Abstract

Big data mean for the massive quantity of heterogeneous data. Now a day the big data management becomes a challenging task for data analysts. There are several components are available in Hadoop for bigdata management and evaluating performance. Hence there are some issues while selecting the components and tools for big data management. Some kind of issues leads to data mismatch and using unnecessary file systems. Another issue while dealing with large database of various users which includes database users, database administrators and users who extracts information in sequence from data warehouses. So this paper is going to provide some NoSQL database and HBase Performance to test a single node. Here the performance of query become slowly because of single node cluster setup and to perform and setup had need of multi node clusters to improve query performance. Compare to existing SQL database management the proposed Hadoop file system with NoSQL will give good performance and reduce time.

Keywords

HDFS, Hadoop, NoSql, Map Reduce