In today's Information Age, data collection and analysis is more important than ever before. As a result, Big Data is a rapidly growing field effecting nearly every industry. It's used by governments, healthcare providers, educators, retailers, manufacturers...nearly every business and organization you could imagine can be
So what is Big Data? It's a process that involves collecting massive amounts of data--bigger than traditional methods are capable of analyzing. It aims to collect a high Volume, Variety and Velocity of data in order to provide real time intelligence. Together, these form "the three V's," which are the main components of Big Data. Challenges that Big Data analysts have include how to store the data (which can be costly when we're potentially talking about over a petabytes of data!), how to utilize new technology to analyze it, how to transfer the data, how to curate the data and many more. Big Data is about making sense of the enormous amount of statistics companies collect, but it's also about problem solving and overcoming the challenges that come when dealing with such a huge flow of information. Analysts also encounter ethical challenges in defining what information shared on the internet is private. There is a strong need for Big Data analysis because of its potential to save companies thousands, millions and sometimes billions of dollars. It can help companies make immediate decisions based on responses from their consumers and track patterns in the way they do business. This fascinating field will only continue to grow and have massive impacts on companies around the world. Data analysis is quickly becoming a requirement for large scale success and making smart, strategic business decisions.
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"I think that it was very useful how this program introduced different ways in which Big Data could be applied in a variety of careers and subjects. I also liked the different applications that were introduced to help with exploring data like Tableau and Webscaper."
“The program was informative and taught me the meaning of Big Data, how to interpret/analyze it, as well as how to use it."
“The program was a good way for me to learn the basics of Big Data. The teacher gave us lots of opportunities to do hands on work including group presentations. I liked that we learned in both hands on and lecture style rather than one or the other only. I liked the pace of the course as well because it was fast enough that I felt challenged but still have the chance to process the content.”