IT for Business Analytics

Catalog description

The class 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 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 hands-on experience with distributed file systems, various NoSQL databases, and virtualization solutions for the purpose of preparing data for business analytics. Pre-reqs: MIS