Start

Introductions

Course outline

• Course Aim
• Learning outcomes

Administration

• Breaks
• Course end

1. Talking about Cloud

1.1. What is meant by the word, Cloud

1.1.a.Essential characteristics

• Virtualisation

1.1.b Services

• IaaS

• Compute

• Storage

• PaaS

• Application Platform

• Apps

• Serverless

• SaaS
• Responsibilities

• Cloud user

• Data owners/stewards, others

• Cloud provider

• MS Azure, e.g.

1.1.c Deployments models

• Architectural models

1.1.d Benefits

• Cost

• Differentials - cloud vs on-prem

• Dependencies

• CAPEX vs OPEX

• Business needs

• Type of cloud

• Terms of Service (CSP)

• Scalability
• Flexibility
• Reliability
• Ease of use

1.2..Statutory, legal, and regulatory obligations

1.2.a DPA2018, UK GDPR

1.2.b. BoE, FCA, PRA

• CQUEST

• Cyber resilience

• NIST CSF, ISO/IEC27001

• CBEST

• Testing defence

• Red Team

1.3. Risk

ERM

• 3 LoD

• Service and deployment models

2. Technologies

2.1 Big Data - 3Vs

2.1.a. Components

• Collection

• Intermediary and secured

• Storage

• Key management

• Processing
• Identity and access

3. Stack

3.1 Microsoft 

Azure

Purview - Data Governance

Synapse

• Data analytics