Sunday, August 25, 2013

Journal Entry 5: Data Manipulation Alanna Schauer


                                                                                                Alanna M. Schauer
                                                                                                Journal Entry 5: Data Manipulation   
                                                                                                             and  Presentation                                                                                                                             
                                                                      Reference

Lin, D., Xin, G., Yan, G., Jingfa, X., & Zhang, Z. (2012). Bioinformatics clouds for big data

            manipulation. Biology Direct, 7(1), 43-49. doi:10.1186/1745-6150-7-43

            direct=true&db=aph&AN=85980083&site=ehost-live

            The article I chose is specific to discussing data manipulation based on large amount of data in Bioinformatics and utilizing cloud computing. Bioinformatics as an interdisciplinary field has been having difficulties with the enormous amount of data they collect because it requires storage of this data. They have been looking for solutions to extrapolate the vital information from the rapid accumulation of the data and using the internet has been proposed.

            This article is a review of the use of cloud computing in data manipulation from the opinion of five authors from the interdisciplinary field of Bioinformatics'. Bioinformatics is influenced by biology and advanced information technology (IT) and includes data analysis, data sharing, and data storage (Lin, Xin, Yan, Jingfa, & Zhang, (2012).

            The need that was addressed was determining how to store the enormous amounts of data that is produced from the field of Bioinformatics and formulate a plan for more public access to the information called public utility. "Whether a public utility or not, cloud computing has already become a significant technology in big data storage and analysis, exerting revolutionary influences on both academia and industry," (Lin, et al, 2012, pg. 43).

            The solution was to utilize cloud computing software such as Hadoop which has two components, Map Reduce and Hadoop Distributed File System (HDFS). Map Reduce breaks apart the data into smaller nodules on multiple computer systems and the HDFS provides the files to store data on these nodes. The article references studies that utilized Hadoop software for data manipulation and storage with successful results. The bioinformatics clouds store and manipulate data into four categories; "data as service (DaaS), software as service (SaaS), platform as service (PaaS), and infrastructure as service (IaaS)," (Lin, et al, 2012, pg. 44).

            The implications to healthcare include easy access to the data extracted from bioinformatics. Currently bioinformatics analysis requires downloading data from public sites, installing software, and then running analysis on your institution's computer. With the data and software in cloud computing, they can be delivered as services so data manipulation, data analysis, and data storage can be done easily and safely (Lin, et al, 2012).

            I learned that Amazon is the largest provider of commercial clouds for storing big data. I learned that collecting all this data requires a system with the capacity for large storage and can be accessed via the internet easily. I learned that cloud computing is still new but has such great promise for future data manipulation that there will be further development in data acquisition, data  storage, and utility supplied internet access to the clouds.

4 comments:

  1. The cloud is the future of computing. There will be less storage areas on site and more storage that is accessible anywhere. The goal I hope is to have a third party utilize more security and give less headaches to the personnel that design the systems. Data is what runs everything. Without it being safe and accessible we lose out on the function of data manipulation.

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    1. Yes that was the premise of this article as bioinformatics as a interdisciplinary field collects large amounts of data and they needed a solution. Cloud computing is their solution.

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  2. Alanna

    I think we are going to see more use of cloud storage as data collection continues and grows beyond what the typical on site infrastructure can manage. I wonder about security as there are so many 3rd party business associates involved. My colleagues and I are scheduled to attend a new HIPAA inservice soon and I recall hearing that those 3rd party businesses will now be liable for security and privacy and I wonder how that will change the way we all interact with those businesses.
    According to Binning (2009), the legislation regarding privacy and security has not kept up with technological advances such as the cloud and while security is a primary concern, there is also concern that too much regulation and standardization will dampen the creativity and development of new cloud services.

    Binning, D. (2009). Top five could computing security issues. Computerweekly.com
    http://www.computerweekly.com/news/2240089111/Top-five-cloud-computing-security-issues

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    Replies
    1. The nice part of the cloud and making it more public is the data will be available easier and without special download software programs or tools. They are looking for public utility as well.

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