Core AWS concepts including global infrastructure, security model, pricing, and basic services essential for data engineering.
Learners will understand AWS global infrastructure, navigate the AWS console, comprehend AWS security and pricing models, and utilize basic AWS services that form the foundation for data engineering solutions.
AWS security framework, shared responsibility model, and fundamental security practices for cloud data engineering.
AWS pricing fundamentals, cost optimization techniques, and budgeting strategies for data engineering projects.
EC2 instance types, sizing, networking, storage options, and best practices for data engineering compute needs.
VPC fundamentals, subnets, security groups, routing, and networking best practices for data applications.
AWS CLI installation, configuration, common commands, and SDK usage for programmatic AWS service interaction.
CloudFormation templates, stacks, and best practices for automating AWS infrastructure deployment for data engineering.
Comprehensive overview of AWS physical infrastructure, geographic distribution, and how to choose appropriate regions for data workloads.