Enabling Technologies for Data Analytics (3-0-0)
Course Contents:

1. Computer networks and Internet Technologies: Layered architecture, Switching and routing techniques, Gigabit Ethernet, VLAN, Quality of Services, Web technologies, Muti-media networks, Web services and Service-oriented architecture.
2. Operating systems support for Data analytics: Virtualization, hypervisor, Virtual machines, Hadoop filesystem, Map reduce.
3. Enterprise Architecture: analysis, design, implementation and evaluation of enterprise IT solutions. Enterprise modelling using UML, Project management.
4. Security and Privacy: Security models, Intrusion detection and prevention, Vulnerability analysis, Security auditing, Privacy aspects of data analytics, K-anonymity, L-diversity and T-closeness.

Prerequisite: Fundamental knowledge of computing systems and networks

Course Details

Evaluation Process

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Class Test 1 Question Paper

Mid-Sem Exam Question Paper

Class Test 2 Question Paper

End-Sem Exam Question Paper

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