Big Data (CPT-S 483-05, 2015 Fall)

Description: This course introduces basic technology (algorithms, architectures, systems) and advanced research topics in connection with large-scale data management and information extraction techniques for big data. The course will start by introducing Big data models, databases and query languages, and cover modern distributed database systems and algorithms and Big data systems adopted in industry and science applications. Implementation of a distributed database on a standalone machine will be covered and students will learn how to build their own database for big data. Distributed storage and parallel processing and architectures that support data analytics will be examined, and students will learn how to implement a distributed data processing system. The course will also cover critical topics in mining and knowledge discovery of big data, with applications in social analytics, cyber security, and information networks, among others that are already in public eye. o Big Data: concept, research problems, hot research trends and emerging applications o Big Data models: Basics on relational data models and semi-structured data; o Graph Data: Graph data models; basics on graph theory o From Data to Knowledge: a knowledge discovery process