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Budhaditya Roy
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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
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