---
owner:
    hid: 212
    name: Kumar, Saurabh
    url: https://github.com/bigdata-i523/hid212
paper1:
    exclude: True
    abstract: >
        With the amount of data created everyday reaching exorbitant limits
        and a push for analysis across all major fields gaining traction, we need
        an advanced framework to analyze the large data. Hadoop is such a framework
        for developing distribution applications. MapReduce is an application model
        for Hadoop. Word count is a small analysis that can be done usingMapReduce.
        It can also be used for complex tasks like search.
    author:
        - Kumar, Saurabh
    chapter: Technology
    hid:
        - 212
    status: Nov 14 17 100%
    title: Big Data Analysis using MapReduce
    url: https://github.com/bigdata-i523/hid212/paper1/report.pdf
paper2:
    review: Nov 6 2017
    abstract: >
        Like the internet in the 1980s and early 1990s, blockchain is a grossly misunderstood technology
        that has the capability of transforming a wide variety of industries. These industries extend 
        beyond just financial transactions and cryptocurrencies and includes healthcare and supply chain.
        This paper reviews the history and current status of blockchain and investigates use cases for 
        how blockchain can transform healthcare and supply chain. 
    author:
        - Kumar, Saurabh; Schwartzer, Matthew; Hotz, Nicholas
    chapter: Business
    hid:
        - 212, 225, 210
    status: Nov 26 17 100%
    title: Can Blockchain Adoption Mitigate the Opioid Crisis Through More Secure Drug Distribution?
    url: https://github.com/bigdata-i523/hid212/paper2/report.pdf
project:
    review: Dec 4 2017
    abstract: >
        Like TCP/IP in the 1970s and 1980s, blockchain is a new,
        intriguing but grossly misunderstood technology that is still
        in its infancy. It is commonly misunderstood as just a
        technology for Bitcoin and cryptocurrencies. However,
        blockchain's use cases extend beyond just financial
        transactions and cryptocurrencies, and have the potential to
        transform nearly every industry including healthcare and
        supply chain. As the technology matures, additional
        transformative use cases could expand into drug distribution
        and specifically to opioid supply chains. Despite this
        potential, a publicly-available blockchain specifically for
        opioid supply chains was not found. Therefore, to demonstrate
        how a blockchain would function on a simplified opioid supply
        chain, a blockchain, using Python code, was developed as a
        proof of concept. This source code is publicly available to
        allow others to further develop the blockchain model for more
        complex and real-world opioid supply chains. The collective
        review and analysis of blockchain, pharmaceutical supply
        chains, the opioid crisis, and the demonstrated blockchain
        model suggest that the adoption of blockchain systems for
        prescription opioid supply chains would enable numerous
        capabilities that could mitigate certain aspects of the opioid
        crisis.
    author:
        - Kumar, Saurabh; Schwartzer, Matthew; Hotz, Nicholas
    hid:
        - 212, 225, 210
    title: Can Blockchain Adoption Mitigate the Opioid Crisis Through More Secure Drug Distribution?
    
    url: https://github.com/bigdata-i523/hid212/project/report.tex
    type: project
    status: Dec 04 17 100%
    chapter: Health