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CORK INSTITUTE OF TECHNOLOGY
INSTITIÚID TEICNEOLAÍOCHTA CHORCAÍ
Semester 2 Examinations 2011/
Module Title: Data Analytics
Module Code: COMP
School: Science and Informatics
Programme Title: Master of Science 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: Summer 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) “Before you do any detailed data analysis you need to do some preparatory work and be knowledgeable of a number issues “. Discuss this, assuming you are working with data from within a large organisation.
[12 marks]
(b) “Statistics, Mathematical Programming and Data Analytics are closely related”. Discuss this statement; you may describe a statistical or mathematical programming method you have encountered during the course to illustrate your answer.
[12 marks]
(c) Answer one of the following:
(i) “Knowledge management is important in the modern organisation”. Discuss, outlining what is entailed in knowledge management and some of its challenges within an organisation. [16 marks] Or
(ii) “Data Analytics can have a powerful transformative influence on an organisation”. Discuss this statement, outlining some of the key challenges involved in using it as a transformative influence. [16 marks] Or
(iii) Data Analytics is a relatively new term. Give an overview of it from a business and historical perspective. Outline some of the possible new uses of it within the cloud computing ecosystem. [16 marks]
Total 40 marks
Section B
(You are required to answer one question here – question 3 or question 4)
- (a) Outline in detail a typical architecture of a data warehouse and explain the major components that contribute to the architecture of the data warehouse.
[9 marks]
(b) Kimball’s Business Dimensional Lifecycle involves the creation of a high level dimensional model using a 4-step process. List and explain the 4 steps.
[4 marks]
(c) In multidimensional operations explain 4 analytical operations that can be performed on date cubes.
[4 marks]
(d) Briefly discuss the analytical processing benchmark process referred to as APB-1 (OLAP Council 1998).
[3 marks]
Total 20 marks
- The Hadoop software framework has emerged as a leading technology for processing and analysing vast distributed data sets. Discuss the technology, specifically addressing the following elements:
(a) The motivation for Hadoop, when it is/is not an appropriate solution and its evolution including contributing vendors and Hadoop cloud based services. [5 marks]
(b) The structure and operation of HDFS and the Map Reduce job paradigm. [10 marks]
(c) The extended Hadoop ecosystem, particularly the support for large scale distributed machine learning. [5 marks]
Total 20 marks
