Data Infrastructure for Data Analytics

Catalog description

This course focuses on emerging issues surrounding the modern data infrastructures that enable data analytics. Students will explore the challenges of working with Big Data (large, diverse datasets that often include varied data types and streaming data) in addition to traditional data infrastructures such as data warehouses. They will become familiar with capturing data from contemporary sources such as web and social media, mobile and sensors, and a variety of large, publically available datasets. Various data management techniques will be explored, including distributed file systems and associated query methods. The goal of this course is to prepare students to assess and recommend large-scale information storage and retrieval components which enable data analytics. May be taught concurrently with ITC 645. The graduate level (645) students will have a significant research project required above and beyond the undergraduate level (545) students. Cannot receive credit for both ITC 545 and ITC 645. Prerequisite: ITC 295 and QBA 237 ; and undergraduate business majors must be admitted to degree program.