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Big data can be perceived as a double-edged sword. On one hand, the huge stores of data become a rich inventory of information that can be used as evidence for supporting sweeping changes. On the other hand, the ever-larger stores of data can become ever increasing targets for security breaches and perceived as noise. Further, Islam, Hasan, Wang, Germack, and Noor-E-Alam (2018) (Links to an external site.) briefly mentioned the challenges of data mining such as prediction error and “The Black Swan” effect. Conducting a quick literature search with keywords “data mining” and “challenges” yields thousands of results.
A. As you consider the health care industry and the value of protected health information, what risks and violations do you foresee?
B. How can healthcare organizations ensure that they continue to act ethically while still having insights into the populations that they serve?
C. Next, select one specific technology (Hadoop, Cassandra, PostgresSQL, MongoDb, Oracle, DB2, etc.) that handles big data. Discuss the specific features of the technology and the reason for selecting the technology. Discuss the significance of selecting the right technology for the database that is being designed (i.e. what occurs if you initially decide on Hadoop, but later realize you should have gone with an Oracle database?).