Ryan Chinn
My name is Ryan Chinn. I am an AZSecure Scholarship for Service Fellow currently pursuing a master’s degree in Management Information Systems (MIS) within the Eller College of Management at the University of Arizona. I received my Bachelor of Science in Business Administration with a major in MIS from the University of Arizona (2013). As the volume, velocity, and variety of data continues to increase at an exponential rate, big data is a growing concern. Big data analytics and its implications for cybersecurity are particularly exciting. From detecting advanced persistent threats (APTs) to preventing cyber attacks, big data analytics will play a vital role in transforming massive datasets into actionable intelligence. By taking this Big Data Analytics course, I hope to learn methodologies and develop analytical skills that I can apply as an information security professional.
Samantha Forbis
Hello, my name is Samantha Forbis. I'm an MS MIS candidate as well as a National Science Foundation Scholarship For Service recipient. My hobbies are cars, computers, and spending time with my family. Every time I turn around I see another entity collecting a massive amount of data - surveys, cookies, shopper reward programs, etc,... The usefulness, and potential misuse, of this data is something I find intriguing. I also feel that the collection of this data is often misunderstood. Since cybersecurity is my primary concentration my interests in big data revolve around safeguarding, analyzing, visualizing, and communicating the information and patterns gleaned from data. From MIS 586 I hope to gain new data collection, analysis, and visualization skills to enable me to make sense from complicated data structures and communicate those in a meaningful way to those who need it.
Leon Walker
Who I am academically should be obvious to those who need to know. I believe that “big data” poses a security risk to individuals. This is due to users being nonchalant about the sensitivity of the data they willingly share with companies and individuals. I believe that heuristics for securing personal identifiable and sensitive information can be developed by studying how companies acquire and process data. Because of my beliefs, this class creates some cognitive dissonance by requiring so much social interaction. However, I look forward to this class and the opportunity to learning how to secure information in a world using “big data”.
Ting-Ju Yang
Hi, my name is Ting-Ju Yang and I am a graduate student at the University of Arizona’s Eller college of Management pursuing my Master’s in Management Information Systems. All I know about “Big Data” are from news. People can look into data and find an useful information or people's behaviors, and try to use in marketing or different business strategies. I’m not interest to play as a god, but if I can go deep to see how people act or the trends, it would be really "cool". I am looking forward to this class, and see more interesting results.Yu Zhao
My name is Yu Zhao. I am currently in the master in the MIS program in the University of Arizona. My bachelor degree was from Harbin Institute Technology in MIS. Before I joined this program, I know the data, I know how to store the data, but I don't know how to analysis the data or how to use data to generate information. After taking the Business Intelligence class last semester, I found it fascinating that data can bring us so much information. Then I was a business intelligence intern for the whole summer in NBTY. While working in this company I found that data was so interesting and talented that we can use the same data set to generate different information for different department to make decision. Because the company I was working for is a manufacture company, the data sets of this company are unorganized and huge. During the work, I am always thinking about the question that how can people use such big data properly. This reminds me the guest lecture that Dr. Ram gave us last semester. She used the different data sets which seems have no relation at all, connect them together and generate beautiful visualization for people to use the data which looks meaningless at first. This impressed me a lot and this is also the main reason I decided to take this course. I hope I can learn how to use big data to generate useful information in the big data class.
