cyber security

Job ID: 33453362

Budget: £20 – £250 GBP

1. Discuss and analyse the principles of Big Data in the Cloud - how this methodology can be helpful for Global Entertainments (GE) (case study) - Suggested word limit for this task is 1000 words [Marks 20]

2. Critically evaluate and discuss the security risks within IAAS, PAAS and SAAS and decide which one is more suitable and secure for Global Entertainments (GE) (case study) - Suggested word limit for this task is 1000 words [Marks 15]

3. Critically evaluate and discuss Big Data frameworks in the cloud and how your discussed frameworks counter measure security concerns raised during GE investigations – Suggested word limit for this task is 800 words [Marks 15]

4. Produce a high-level infrastructure diagram to support GE data migration project (your diagram should show the tools/solutions) [Marks 10]

Section B (40%) – Implementation – suggested word limit for this section is 1200 words

Tasks:
1. Create a Big Data Project in the Cloud environment by migrating existing databases into Big Data in the Cloud environment based on the features chosen for Global Entertainments (GE) (section A) [Marks 10]

2. Using the appropriate tools/software demonstrate security controls used for the above Big Data project [Marks 10]

3. Design a data driven dashboard using cloud-based technologies which can support Global Entertainments (GE) management to oversee travel bookings and other relevant data security insights [Marks 10]

4. Discuss which professional practices can help the Global Entertainments (GE) to comply with relevant legal, ethical and social issues within the Cloud and Big data environment.
Suggested word limit for this task is 1200 words [Marks 10]
Related categories: Aws Lambda AWS SageMaker