DATA ENGINEER ROADMAP · STAGE 04 OF 04
Cloud data platform operations
Operate data workloads with access controls, observability, cost awareness, and dependable releases.
Explain how a data platform is secured, monitored, and kept within reliability and cost expectations.
CORE SKILLS
Key concepts in cloud data platform operations
Cloud storage and compute
Match storage and processing choices to the workload while considering scaling and cost behavior.
Topics include
- Object storage and managed databases
- Distributed processing basics
- Compute sizing and autoscaling
Access and governance
Make data available to authorized users while limiting access to sensitive information.
Topics include
- Least privilege and service identities
- Secrets management
- Classification and retention
Observability and service levels
Use operational signals and explicit expectations to make data freshness and pipeline failures visible.
Topics include
- Logs, metrics, and alerts
- Freshness and completeness objectives
- Ownership and incident response
Cost and performance
Find avoidable work and tune data layouts or jobs without sacrificing correctness.
Topics include
- Partition and file-size choices
- Query and compute efficiency
- Cost attribution and budgets
APPLY WHAT YOU LEARN
Practical project
Write an operational design for one pipeline: owners, data permissions, freshness target, alerts, cost checks, and recovery steps.
CHECK YOUR UNDERSTANDING
You are ready to move on when
- Can identify who may access data and why.
- Can detect stale data and explain the response path.