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--- owner: hid: 346 name: Zachary Meier url: https://github.com/bigdata-i523/hid346 paper1: abstract: > Giving a broad overview of how we collect massive amounts of data about our ocean in hopes to understand and fix complicated issues our oceans face. author: - Zachary Meier chapter: Environment hid: - 346 status: Nov 25 17 100% title: Big Data in Oceanography url: https://github.com/bigdata-i523/hid346/paper1 paper2: review: Nov 28 2017 abstract: > Netflix is an industry leader in handling large amounts of data to predict users needs but also help fine tune their internal processes. This paper will cover how they operate as a company and how their use of data visualization has led to their success and how they continue to grow and provide service to millions with little service interruptions. author: - Zachary Meier hid: - 346 status: Nov 28 17 100% title: Netflix use of Big Data Visualization url: https://github.com/bigdata-i523/hid346/paper2 chapter: Media project: abstract: > In Southern California, wildfires never seem too out of place and seem to be a commonly accepted as a norm for the most part. Over the years this problem has only continued to get worse. These fires started to cause massive amounts of property damage, loss of life, and hazardous conditions for everyone. When wildfires break out they soon become unpredictable due to wind conditions and vegetation. To amplify problems further, most places where burns take place are hard to reach by the emergency crews fighting them. The combination of these factors results in scattered resources, playing catch up rather than preventing the spread and evacuating large areas. Using Predictive analytics to not only know where a fire is going but, possibly preventing it in the first place may help save lives and billions of dollars. author: - Zachary Meier hid: - 346 title: Big Data Analysis for Wild File Prevention and Tracking type: paper chapter: Environment url: https://github.com/bigdata-i523/hid346/project status: Dec 08 17 100%
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