Big Data Technologies

Host University

George Mason University

Semester

Fall 2024

Course Number

ECE 552 DL1

Credits

3

Discipline

Electrical & Computer Engineering

Instructor

Boci, Erton (eboci@gmu.edu)

Times and Days

7:20-10:00pm

M

Course Information

Covers the principles of the Big Data ecosystem architecture and in-depth understating of selected Big Data technologies that are an important part of such a scalable ecosystem. Important topics covered in this course include Hadoop distributed file system (HDFS), along with the system requirements that drove the need for such distributed file system, MapReduce – a new computing paradigm that enables processing of massive amount of data stored in HDFS, new open-source analytical engines that rely on parallel and in-memory computations to improve the analytical processing time of the massive amount of data, concepts and rigors of machine learning and their implementation using Big Data technologies, functional programming, NoSQL technologies, and integration. The course also covers the implementation and instantiation of a cloud-based Big Data ecosystem that allows illustrating concepts introduced in this class.Offered by Electrical & Comp. Engineering. May not be repeated for credit.

Prerequisites

CS 112 Introduction to Computer Programming or equivalent