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CORK INSTITUTE OF TECHNOLOGY
INSTITIÚID TEICNEOLAÍOCHTA CHORCAÍ
Autumn Examinations 2011/
Module Title: Data Analytics
Module Code: COMP
School: Science and Informatics
Programme Title: Masters of Science (Honours) in Cloud Computing
Programme Code: KCLDC_9_Y
External Examiner(s): Dr David White
Internal Examiner(s): Mr. Aengus Daly, Dr Paul Walsh, Ms Aisling O’ Driscoll,
Mr. Karl O’Connell
Instructions: You are required to answer three questions:
Section A (80 Marks): Answer questions One and Two.
Section B (20 Marks): Answer one question from questions Three
and Four.
Duration: 2 HOURS
Sitting: Autumn 2012
Requirements for this examination:
Note to Candidates: Please check the Programme Title and the Module Title to ensure that you are attempting the correct examination. If in doubt please contact an Invigilator.
Section A
(You are required to answer questions 1 and 2 here)
(a) Business Intelligence and Data Analytics are often used interchangeably. Discuss this, outline their main characteristics, some of technologies involved and any categories into which they may be grouped. [12]
(b) “Statistics and Mathematical Models are the cornerstones of Data Analytics.” Discuss this statement, detailing some examples of how they are used within Data Analytics. [12]
(c) Answer one of the following :
(i) “Using Data Analytics effectively within an organisation requires a diverse set of skills”. Discuss this statement. You may also draw from your own experience and that of others you have researched.
Or [16]
(ii) “Knowledge Management (KM) within companies is not a new phenomenon yet in recent years it has received an increased level of attention.” Discuss this statement, outlining what KM is, its benefits, and the challenges and technologies associated with it. [16] Or
(iii) Decision Support Systems (DSS) are important in the modern organisation.” Discuss, detailing its characteristics, its similarities and differences it has with Data Analytics/Business Intelligence. Give an example of a DSS from your own experience or that of one you have researched. [16]
Total 40 Marks
Total 40 Marks
Section B
(You are required to answer one question here – question 3 or question 4)
- (a) In the early definitions of data warehousing by Inmon (1993) the following were used to define data:- subject oriented, integrated, time-variant and non-volatile. Briefly explain these terms.
[5]
(b) Briefly list six of the reasons for creating a data mart.
[3]
(c) In relation to data mining, explain predictive modeling and the two techniques associated with the data mining operation.
[12]
Total 20 Marks
- Hadoop has emerged as a leading framework for large scale distributed data processing. Discuss the technology, specifically addressing the following elements:
(i) The challenges associated with “big data”, the motivation for Hadoop and when it is/is not an appropriate solution [5]
(ii) The structure and operation of HDFS and its components. [5]
(iii) The Map Reduce job paradigm, sub-projects including Hive, Pig, Sqoop and Flume and the support for large scale distributed machine learning algorithms over Hadoop. [10]
Total 20 marks
