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README.yml
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README.yml
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---
owner:
hid: 348
name: Budhaditya Roy
url: https://github.com/bigdata-i523/hid348
paper1:
exclude: True
abstract: >
Discuss how using singularity in Big data could possibly
change the way big data has been using now. Many of the
scientists believe by 2045 singularity will hit Information
technology and computing industry when machines would be
similar intelligent as humans. In this paper we tried to reach
a point with the effect of using singularity in big data
framework where supercomputing produces more robust process
for a revolutionary change in big data environment.
author:
- Budhaditya Roy
chapter: Technology
hid:
- 348
status: 100% Oct 25 17
title: Using The Singularity for Big Data
url: https://github.com/bigdata-i523/hid348/paper1/report.pdf
paper2:
review: Nov 6 2017
abstract: >
NOSQL databases play an integral part in analyzing and
organizing vast quantities of data. The recent advancement of
big data applications involve datasets which are fast
changing, massive and diverse in nature. As innovation of big
data progresses, next big thing comes to the world of
development is where to store this voluminous data which is
core of any big data application. With the evolution of NOSQL
databases data storage problem was resolved but a new concern
has risen sharply, the ‘Security’. In today’s world data
governance, in form of data security plays a most imperative
role in success of every organization. NoSQL databases are
designed to deliver real time performance in keeping large
volume of data stored but while developing these databases
security was not a primary subject rather performance,
velocity, scalability were top of the list. This paper talks
about the security aspect of NOSQL databases in big data
application and how organizations can implement NOSQL
databases considering the security and whether having these
databases a wise decision on picking up right databases in big
data application.
author:
- Budhaditya Roy
chapter: Security
hid:
- 348
status: 100%
title: Security aspect of NOSQL database in Big Data Applications
url: https://github.com/bigdata-i523/hid348/paper2/report
project:
abstract: >
This article focuses on the impending impact of big data
analytics improving health, preventing and detecting illness
at a preliminary stage of illness and personalize
interferences. The complexity and diversity of biological
data are pouring the need of big data analytics and how it is
applied in biological field especially in Pharmacogenetics,
personalized/precision medicine. Big data is particularly very
useful in the healthcare industry as a whole for its data
handling intensive nature. Over the past decade, electronic
health records (EHR) have become an extensively accepted in
hospitals and clinics worldwide and the amount of information
is generally daily from a single patient is increasing day by
day. Important clinical acquaintance and a deeper
understanding of patient disease patterns can be deliberate
from such data. It will help to improve patient care as well
improve efficiency of patient care and disease
prevention. There are few applications pointed out to be
effective using big data such as Healthcare data solutions and
big data in cancer therapy, continuous monitoring of patients
symptoms, healthcare intelligence, fraud prevention and
detection. Many people heard about the proposition of
precision medicine in State of Union speech of President Obama
in 2012. Since then the revolutionary process of precision
medicine started to grow rapidly in healthcare industry. On
January 30, on the same Precision based medical initiatives,
the Obama administration exposed facts about the Precision
Medicine tentative plans.
author:
- Budhaditya Roy
hid:
- 348
status: 100%
title: Big Data Application in Precision Medicine and Pharmacogenomicsn
type: project
url: https://github.com/bigdata-i523/hid348/project/report
chapter: Health