Big Data Management

TCSS 490/590 - Big Data Management

The course will discuss data management techniques for storing and analyzing very large amounts of data. The emphasis will be on columnar databases and on Map Reduce as a tool for creating parallel algorithms that can process very large amounts of data. In addition the discussions will focus on applications of Big Data in internet advertising, healthcare and social network analysis.
Topics include: Big Data applications, Columnar stores, distributed databases, Hadoop, Locality Sensitive Hashing (LSH), Dimensionality reduction, Data streams, unstructured data processing, NoSQL, and NewSQL.

Course Syllabus

Sample syllabus includes expectations, topics covered and grading scheme details.

Course Information

Lectures: At Tacoma Campus

Instructor: Ankur M. Teredesai