IT6701 INFORMATION MANAGEMENT Syllabus Semester VII IT BTECH Anna University-Regulation-2013

IT6701                                        INFORMATION MANAGEMENT                                            L T P C
3 0  0 3
OBJECTIVES:

• To expose students with the basics of managing the information
• To explore the various aspects of database design and modelling,
• To examine the basic issues in information governance and information integration
• To understand the overview of information architecture.

UNIT I           DATABASE MODELLING, MANAGEMENT AND DEVELOPMENT                              9
Database design and modelling - Business Rules and Relationship; Java database Connectivity (JDBC), Database connection Manager, Stored Procedures. Trends in Big Data systems including NoSQL - Hadoop HDFS, MapReduce, Hive, and enhancements.

UNIT II          DATA SECURITY AND PRIVACY                                                                                     9
Program Security, Malicious code and controls against threats; OS level protection; Security – Firewalls, Network Security Intrusion detection systems. Data Privacy principles. Data Privacy Laws and compliance.

UNIT III        INFORMATION GOVERNANCE                                                                                         9
Master Data Management (MDM) – Overview, Need for MDM, Privacy, regulatory requirements and compliance.  Data Governance – Synchronization and data quality management.

UNIT IV       INFORMATION ARCHITECTURE                                                                                     9
Principles of Information architecture and framework, Organizing information, Navigation systems and
Labelling systems, Conceptual design, Granularity of Content.

UNIT V        INFORMATION LIFECYCLE MANAGEMENT                                                                  9
Data retention policies; Confidential and Sensitive data handling, lifecycle management costs. Archive data using Hadoop; Testing and delivering big data applications for performance and functionality; Challenges with data administration;


OUTCOMES:
At the end of the course the students will be able to:

TOTAL: 45 PERIODS

• Cover core relational database topics including logical and physical design and modeling
• Design and implement a complex information system that meets regulatory requirements;

define and manage an organization's key master data entities

• Design, Create and maintain data warehouses.
• Learn recent advances in NOSQL , Big Data and related tools.

TEXT BOOKS:

1. Alex Berson, Larry Dubov MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E, Tata McGraw Hill, 2011
2. Security in Computing, 4/E, Charles P. Pfleeger, Shari Lawrence Pfleeger, Prentice Hall; 2006
3. Information Architecture for the World Wide Web; Peter Morville, Louis Rosenfeld ; O'Reilly

Media; 1998

REFERENCES:

1. Jeffrey A. Hoffer, Heikki Topi, V Ramesh - MODERN DATABASE MANAGEMENT, 10 Edition, PEARSON, 2012
2. http://nosql-database.org/ Next Gen databases that are distributed, open source and scalable.
3. http://ibm.com/big-data - Four dimensions of big data and other ebooks on Big Data Analytics
4. Inside Cyber Warfare: Mapping the Cyber Underworld- Jeffrey Carr, O'Reilly Media; Second

Edition 2011