Hands-on course discusses emerging technologies for big data analytics and their applications in real-world environments. Students apply learned concepts and best practices using several emerging technology tools simulating development, implementation, and use of big data analytical systems. Topics include RDBMS, SQL, NoSQL, R, MapReduce Programming paradigm, Hadoop, HDFS, HIVE, PIG and others in the Hadoop ecosystem for unstructured data analytics. Offered by Info Sciences & Technology. May not be repeated for credit.
Big Data Essentials
Host University
George Mason University
Semester
Fall 2023
Course Number
AIT 614 009
Credits
3
Discipline
Computer Science
Instructor
Bin Duan (bduan@gmu.edu)
Times and Days
Asynchronous
Course Information
Prerequisites
AIT 524, or industry experience with database systems.