Data Engineering for Data Science.

Catalog description

This course introduces students to data warehousing architectures, big data processing pipelines, and in-memory analytic techniques. Students will learn how to design systems to manage large volumes of multidimensional data. Currently, this includes the map-reduce paradigm, distributed file systems (HDFS), The Spark distributes computing platform, and how to sign up cloud computing resources (AWS EC2). Prerequisite: Graduate status in the Data Science program. Corequisite: ANLT 251 Data Science Socratic Lab.