1. IS6125 Database Analysis and Design Lecture 12: Exam Revision and Semester Roundup
Rob Gleasure

2. IS6125
Today’s session
Subjects covered and the types of questions to expect
Essay style questions
Modelling questions
Questions?

3. Essay-Style Questions
Topics covered
Big data
What are the three Vs?
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?

4. Essay-Style Questions
Topics covered
Datafication and the Internet of Things
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?

5. Essay-Style Questions
Topics covered
Business intelligence and the different types of data
What types of data exist, e.g. self-reported, exhaust, profile
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?

6. Essay-Style Questions
Topics covered
Privacy and the ethical cost of data
Why is data sensitive?
What are the threats to privacy?
Why are digital businesses more reliant on trust than traditional businesses?
What is the cost of data for a user?
Why does data privacy matter?

7. Writing style and grammar

8. Modelling Questions ERDs Can be SSADM and/or Chen’s
Modelling question will expect
A model
Constraints
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

9. Modelling Questions DFDs Can be context-level or level 1
Either model will expect
A model
Assumptions
You may also be asked to discuss issues, such as
The different values of context-level and level 1 diagrams
The reasons for a staggered approach to data modelling
Commonly encountered issues

10. Modelling Questions Normalisation
Question will expect you to normalise a table to the third form
Don’t be afraid to identify assumptions, where you feel they require further discussion
You may also be asked to discuss issues, such as
The reasons for normalising a table, i.e. redundancy
The three Armstrong axioms

11. 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