Lesson 1: Foundations and Core Concepts

Topics Covered

• AWS data engineering architecture
• Batch and streaming ingestion
• Amazon S3 data storage patterns
• Terminology, service roles, and solution context
• Requirements and design considerations

Practical Activity

Map a representative use case, identify requirements, and select the relevant AWS concepts or services.

• Document assumptions, selected services or concepts, and expected outcomes.
• Record validation evidence, risks, and any required corrective action.

Lesson Outcome

Learners can explain and apply the lesson topics within a realistic Data Engineering on AWS scenario.