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README.yml
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---
owner:
hid: 323
name: Uma M Kugan
url: https://github.com/bigdata-i523/hid323
paper1:
abstract: >
The data volume is increasing at high velocity and it comes
from various sources with different formats.These data no
longer fits into defined structure and hence the need for
handling the big data using NoSQL.This paper will highlight on
what is NoSQL and where and when it should be used for and
also why Big Data can not be handled in traditional RDBMS.
author:
- Uma M Kugan
chapter: Technology
hid:
- 323
status: Review Date 11.10.2017
title: This is my paper about NoSQL Databases in support of Big Data Applications
and Analytics
url: https://github.com/bigdata-i523/hid323/blob/master/paper1/report.pdf
paper2:
duplicate: True
status: Review Date 11.06.2017
abstract: >
In recent history, the explosion of smart devices, social
media platforms and the Internet of Things has resulted in
major replication of data. This data is transferred at high
speeds, in large volumes and in a variety of different
platforms. Data is one of the biggest assets of companies and
with the exponential growth of data comes an increasing
problem: Security and Privacy. Security and privacy have
become a major initiative for every organization that has or
utilizes databases. These organizations need to protect their
brands, avoid penalties, and, in worst case scenarios, avoid
circumstances in which they may either lose a significant
amount of business or their business as a whole. The computer
science industry, alongside of these organizations, need to
continue to develop ways to protect, utilize, and gain
real-time insight from the data that each organization
has. This paper is going to highlight security and privacy in
Big Data, alongside of specific issues and challenges related
to security.
author:
- Uma M Kugan
chapter: Security
hid:
- 323
title: Big Data Security and Privacy
url: https://github.com/bigdata-i523/hid323/blob/master/paper2/
project:
review: Jan 4 2017
author:
- Uma M Kugan
hid:
- 323
title: Plugin to cmd5 That Creates a Docker Swarm Cluster on 3 Raspberry Pis
abstract: >
Information technologies are evolving from mainly one-host environments to
more distributed environment. Docker Swarm makes it possible to avoid having a
single point of failure and instead, have multiple nodes that can be properly
balanced and contain replicas of the information. Currently, Dockers must be
individually downloaded, installed and configured on each physical computer in
order for the desired computers to work in swarm mode. This paper details the
development of a plug-in that would allow CloudMesh to deploy a Docker Swarm cluster.
The creation of this plug-in would be the first step towards the development of
a tool which would allow larger debian based networks to work as container oriented
virtual environments with optimized usage of resources.
type: project
status: Dec 14 17 80%
chapter: TBD
url: https://github.com/bigdata-i523/hid323/tree/master/project