IT for Business Analytics

Catalog description

This course focuses on the technology component of business analytics; more specifically storing, processing, and accessing data for the purpose of business analytics. The majority of the class explores a variety of technology solutions for big data on cloud infrastructure. The first part of the class focuses on comparing/contrasting relational databases, in-memory databases, and NoSQL databases, virtualization, and basics of parallel computing and cluster computing. The second part of the class covers alternative database models including column, key-value, graph, and document. The last part of the class focuses on data processing languages and distributed machine learning technologies. At the end of the class, students will have hand-on experience with distributed file systems, various NoSQL databases, and virtualization solutions for the purpose of preparing data for business analytics. Pre-reqs: MGMT 500.