Melissa Pula and Omar A-Azzam, Saint Cloud State University (SCSU), USA

We are in an age where data is not only readily available, but abundant. However, it is what we do with this data, through analyzing it, that is most important. While traditional means of data analytics works well for smaller amounts of information, it may not be able to handle larger amounts, called big data. In this paper, we will discuss the different ways in which big data can best be stored, what methods work best in analyzing it, and how the results of this analysis can be implemented in real-world scenarios.

Big Data, Analytics, Machine Learning, Data Mining