CPSC 5075 - Data Architectures for Analytics

3 credit hours
Practical work in data science and analytics depends on efficient access to data from a variety of sources. This course will examine typical corporate data architectures with data warehouses that include both structured and unstructured data. Common storage techniques (including cloud) and retrieval strategies will be included. Advanced SQL, NoSQL, data cleaning, and ETL will also be covered. A start-to-finish implementation of a data warehouse will be developed by student project teams.

Prerequisite Course(s): CPSC 5071 or IS 5305