Essential terminology and concepts specific to AWS data engineering and cloud data processing.
Learners will master key terminology used in AWS data engineering, understand technical concepts and acronyms, and communicate effectively using industry-standard data engineering vocabulary.
Service-specific terms for S3, Glue, Kinesis, Redshift, Lambda, and other AWS data services with definitions and usage contexts.
ETL/ELT, data lakes, data warehouses, streaming, batch processing, and other core data engineering terminology.
Cloud terminology including IaaS, PaaS, SaaS, serverless, elasticity, scalability, and cloud-native concepts.
Security terminology including encryption, IAM, authentication, authorization, compliance, and governance concepts.
Performance terms including throughput, latency, scalability, optimization, monitoring, and operational terminology.