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Big Data Essay

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Below is an essay on "Big Data" from Anti Essays, your source for research papers, essays, and term paper examples.

Big data is generally a combination of multi-structured, which is derived from interactions between people and machines such as web applications or social networks and unstructured data, which is unorganized and it’s text heavy and the best example I remember from a GIS event on ‘Big Data’ given by Professor Ming Tsou is Twitter. Big Data is nothing but a collection of data from traditional and digital sources inside and outside the company, which is done by techniques of math modeling, predictive algorithms and artificial intelligence software that predicts the behavior of customers shopping, eating, clothing and etc. styles.
I agree to what Andrew McAfee and Professor Erik Brynjolfsson said that Big Data would change the way of thinking about the world, Big data apart from collecting the behavior of the customers shopping style can also be computing code for massive-scale detection of seismic earthquake signals which is possible by Zhigang Peng, associate professor in the School of Earth and Atmospheric Sciences, and Bo Hong, assistant professor in the School of Electrical and Computer Engineering, have successfully developed a GPU-based method that can significantly accelerate the detection of earthquake signals from continuous data, which is achieved only by analyzing larger data sets for several years of data recorded at hundreds of seismic stations. I also agree to what Thomas H. Davenport said that “the main part of managing Big data is by asking right questions: What is the problem? What data is required? What are the assumptions behind the model that the data is fed into? How is the model different from reality? Because we can’t just collect any data, make a model of it and then analyze there has to be some relation for example Douglas Merrill, the founder of U.S. online lender Zest Finance claims that even typing habits reveal secrets about financial credibility. So the countries where credit is tight and defaulting on loans is a serious risk,...

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