Data Engineering

(1.5 Credit Hours) · Undergraduate

Traditional computer workstations and servers were sufficient for performing data storage and analysis until the emergence of the internet and the exponential growth in data it facilitated. This is when companies were forced to rethink how storage and computation existed together. This dilemma gave birth to a plethora of technologies that would change the landscape of how we store, manipulate and analyze data today. In this course we will explore the evolution of these technologies. In addition, we will investigate how these technologies reshaped industries and created a space for data science to flourish at scale. We will cover the benefits and limitations of technologies like MapReduce, HPC, the Apache ecosystem, and a variety of databases. Minimal programming will be required for this course.