COM 636 Distributed Data
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Distributed data is data that is stored in a DBMS other than the local system.
This COM 636 Distributed Data course module aims to extend the students' knowledge of data database system technology by introducing them to a number of advanced topics and methodologies. The course is quite wide and encompasses numerous topics, such as, distributed data, online analytical processing, data warehousing, data intensive computing, semantic web, personalized data and other advanced database topics.
Learning Outcomes:
1. Critically examine some of the more advanced developments in the database technology example: Distributed databases, Multimedia Databases, Multidimensional Database, and Mobile Databases.
2. Assess the current issues related with theory to practical implementations in database research.
3. Find out advanced aspects of distributed data, data warehousing, data intensive computing, remote access and personalized data; comprising the principles, research results and commercial application of the technologies.
4. Significantly assess the adoption/use of data warehouse systems and business intelligence practices for accomplishing organisational benefits.
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