is6145 database analysis and design lecture 11: exam revision and semester roundup rob gleasure...

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IS6145 Database Analysis and Design Lecture 11: Exam Revision and Semester Roundup Rob Gleasure [email protected] www.robgleasure.com

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Page 1: IS6145 Database Analysis and Design Lecture 11: Exam Revision and Semester Roundup Rob Gleasure R.Gleasure@ucc.ie

IS6145 Database Analysis and DesignLecture 11: Exam Revision and Semester RoundupRob Gleasure

[email protected]

Page 2: IS6145 Database Analysis and Design Lecture 11: Exam Revision and Semester Roundup Rob Gleasure R.Gleasure@ucc.ie

IS6145

Today’s session Subjects covered and the types of questions to expect

Essay style questions Modelling questions

Questions?

Page 3: IS6145 Database Analysis and Design Lecture 11: Exam Revision and Semester Roundup Rob Gleasure R.Gleasure@ucc.ie

Essay-Style Questions

Topics covered The cloud and datafication

What is data and how does something become ‘datafied’? How and why did cloud technologies evolve? What does it mean in terms of technological and business

capabilities? What is the Internet of Things? What does the future hold? Can you use contrasting examples of different businesses to

discuss each of these headings?

Page 4: IS6145 Database Analysis and Design Lecture 11: Exam Revision and Semester Roundup Rob Gleasure R.Gleasure@ucc.ie

Essay-Style Questions

Topics covered Big data

When is data ‘big data’? How and why did we get from ‘small data’ to ‘big data’? What does big data let businesses do that they couldn’t do

previously? What businesses are a good example off this? What are the issues and challenges arising from big data? Can you use contrasting examples of different businesses to

discuss each of these headings?

Page 5: IS6145 Database Analysis and Design Lecture 11: Exam Revision and Semester Roundup Rob Gleasure R.Gleasure@ucc.ie

Essay-Style Questions

Topics covered Business intelligence

What kind of intelligence is enabled as we increase our measurement and analysis capabilities?

How do we get from an individual case to a large-scale pattern, and back again?

What are the challenges of translating intelligence from an individual case to large-scale patterns, and back again?

What businesses exemplify the ability to generate intelligence from the increased capacity for data handling, and why?

Can you use contrasting examples of different businesses to discuss each of these headings?

Page 6: IS6145 Database Analysis and Design Lecture 11: Exam Revision and Semester Roundup Rob Gleasure R.Gleasure@ucc.ie

Modelling Questions

Topics covered Modelling question will expect

1. A model

2. Constraints

3. Assumptions

You may also be asked to discuss issues, such as Differences between stages of ER modelling The reasons for a staggered approach to data modelling Commonly encountered issues

Page 7: IS6145 Database Analysis and Design Lecture 11: Exam Revision and Semester Roundup Rob Gleasure R.Gleasure@ucc.ie

Answering Questions

Exam technique Manage your time Plan your answers Sketch out your diagrams very quickly as roughwork if you’re not

sure how to make them fit together Answer your best questions first Use examples

Have these lined up as part of your revision