Big data

Big data is explained by as data that is simply too huge to be processed by traditional databases. In recent years big data has become a very controversial topic. On the two sides of this debate are humanitarians and on the other are capitalists. ┬áThe humanitarian argument suggests that the collection of big data is performed in a morally questionable way. The way it is performed is analysts first collect huge chunks of essentially random data, then they search the data to see what it shows them. It’s kind of like a reverse version of the scientific method. Traditionally researchers ask questions first (the hypothesis) and see how the data collected relates to you questions. But big data analysis does just the opposite. It begins with data collection and then ends with asking questions about the collected data. When applied to the real world this can prove to be a dangerous tactic when it comes to human rights. Analysts can you this data to tend to particular groups needs over others, hence discrimination begins to rear it’s ugly head. On the other side of the big data coin is the capitalism.

In our society, the more money one owns the more power they have over their own lives to live freely. With this in mind, there will always be people who want to make more money. Big data is extremely useful to corporations, because it allows for profiling based off of statistical data which allows these corporations to tend to individuals specific interests. However, do to the reverse scientific method that I mentioned before, this data can also be used to deny people necessary benefits like banks loans. But big data also has incredible benefits. It can be used to help increase education, health benefits, and financial savings. The government needs to regulate how big data is used as to not infringe upon peoples civil rights.

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