Database Systems

1 Unit · Graduate

This course introduces data management and database systems with applications in large-scale analytics and AI projects utilizing relational, document, graph-relational, and vector databases. Students learn about the relational model, the normalization process, and query languages, including Structured Query Language (SQL). They learn about data types, data models, and database programming for extract, transform, and load operations in databases. Students work with unstructured data, indexing and scoring documents for effective and relevant responses to user queries. They work with multiple database models housing different types of data, harnessing each model's unique strengths to achieve a more comprehensive approach to data analysis. Recommended prior programming experience, MSDS 430-DL Python for Data Science, or MSDS 431-DL Data Engineering with Go.