AWS Compute and Data Transfer for Data Engineering

Moving data efficiently and choosing the right processing power are the cornerstones of successful cloud data engineering. This text-based course guides you through AWS compute options and data transfer services, helping you design cost-effective, secure, and high-performance data workflows. What you'll learn: - Understand core AWS compute services, including EC2, ECS, and serverless Lambda for data workloads. - Configure secure and efficient data transfer mechanisms using AWS Transfer Family, S3, and Kinesis. - Apply best practices for network optimization and data ingestion pipelines in the cloud. - Implement secure data transit protocols and VPC endpoints to protect sensitive information. - Learn how to balance compute costs and performance for large-scale data processing. You will start with foundational cloud definitions and key architectural concepts before progressing to practical configuration scenarios. Through clear written explanations and structured examples, you will build a solid understanding of how data moves and processes in AWS. This course is designed for beginners interested in cloud data infrastructure, with no prior cloud experience required. Start reading today to master the fundamentals of AWS compute and data movement.