Big Data Processing

Module code: ECS765P

Credits: 15.0
Semester: SEM2

Contact: Dr Ahmed Mohamed Abdelmoniem Sayed

Big Data Processing covers the new large-scale programming models that allow to create algorithms that process massive amounts of information with a cluster of computer nodes, while hiding the complexity of coordinating parallel computations across the cluster. The module covers the MapReduce programming model and the big data processing platforms Apache Hadoop and Apache Spark. Big stream and big graph processing solutions are presented and related topics such as NoSQL data stores and cloud computing execution infrastructure are discussed.

Connected course(s): UDF DATA
Assessment: 50.0% Coursework, 50.0% Examination
Level: 7