F-07, Data
Big Data & cloud
Build an understanding independent of any vendor across data intensive systems, cloud service models, governance, security and architectural choices.
Objectives
- Use recognised Big Data and cloud terminology
- Compare cloud service and deployment models with hosting on premises
- Map responsibilities for data, security, resilience and suppliers
- Frame a workload decision using requirements, risks and exit considerations
Audience
Managers, architects, project teams and infrastructure professionals involved in data, hosting or cloud decisions.
Prerequisites
- General IT knowledge
- No programming or cloud platform certification required
Programme
01
Data intensive systems
- Volume, velocity, variety, variability and scalable architectures
- Data sources, ingestion, storage, processing and consumption
- Batch, streaming and analytical workload patterns
- Data quality, metadata, lineage and lifecycle responsibilities
02
Cloud foundations
- On demand service, broad access, resource pooling, elasticity and measurement
- Infrastructure, platform and software service models
- Private, community, public and hybrid deployment models
- Virtualisation, abstraction and the underlying physical infrastructure
03
Governance and architecture decisions
- Responsibilities of customers and providers, identity, logging and data protection
- Availability, backup, recovery and contingency planning
- Workload dependencies, performance, location and connectivity
- Cost, supplier assurance, portability, reversibility and exit planning
Outcomes
- Explain cloud and Big Data concepts without language specific to one vendor
- Build a responsibility and risk map for a proposed service
- Compare hosting options using a structured decision checklist
Public references
TALINTS programme outline informed by openly accessible institutional publications.