Avoir Partner Institution: Uganda Martyrs University
Avoir Masters Programme : Msc. Computer Science
Specialization
: FOSS
Course Unit(Module)
:
Data Management.
Objective.
This Course is designed to help Students understand the concepts related to
Relational databases, data warehousing, database administration, data mining
Expected Outcomes
At the end of the course a student would have acquired knowledge in the following
areas: Relational Database Management Systems, database, Database languages,
Database security, integrity, data base recovery, database concurrence, database
administration, Object Oriented databases, distributed databases with skills to
Plan,design, Develop ,Administer Databases and Test database performance.
Course Content.
The relational model and Languages:
Relational Integrity
views , SQL Data Manipulation, SQL Data Definition,Database Analysis and Design
Techniques, Fact finding techniques
E-R modeling, Normalization.
Methodology
Conceptual Database Design, logical Database Design, physical database
design, monitoring and tuning the operational system.
Security
Database security,threats, computer based controls(authorization,views,backup
and recovery,integrity, encryption,Raid -Redundant Array of independent
Disks., Transaction management, concurrency control- the need for
concurrency control- serializability and Recoverability-locking
methods- deadlock., Database recovery-The need for recovery,recovery
facilities, recovery techniques,
Distributed DBMSs, Object Oriented DBMSs, Object Oriented Relational DBMSs,
Data warehousing concepts
How data warehousing evolved
The main Concepts and benefits associated with Data warehousing.
Online transaction processing(oltp) systems and how they differ from data
warehousing
Problems associated with data warehousing
The Architecture and main components of a data warehouse.
The important data flows or processes of a data ware house;
The main tools and technologies associated with data warehousing
The issues associated with the integration of a data ware house and the
importance of managing metadata
The concept of a data mat and the main reasons for implementing a data
mart.
The main issues associated with the development and management of data
marts.
Data warehousing Design.
The issues associated with designing a data warehouse database.
A technique for designing a data ware house database called dimensionality
modeling.
How a Dimesional model (DM) differs from an ER model.
A step-by step methodology for designing a data warehouse database.
Criteria for assessing the degree of dimensionality provided by a data
warehouse.
OLAP and Data Mining
The purpose of Online analytical processing(OLAP) and how it differs from
data warehousing.
The Key Features of OLAP Applications.
The Potential benefits associated with Successful OLAP applications.
The rules for OLAP tools and the main types of tools including multidimensional (MOLAP), relational OLAP and Managed query environment (MQE)
tools.
The OLAP extensions to SQL
The Concepts associated with data mining.
The main data mining operations including predictive modeling, database
segmentation, link analysis,deviation detection and the associated techniques.
The relationship between data mining and data warehousing.
Text book
Thomas, Connolly Carolyn Begg, Database systems A practical Approach to
Designing, Implementation and Management.