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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
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