Foundations of AWS Data Processing and Analysis

In today's data-driven world, processing and analyzing massive datasets efficiently is a critical skill for any aspiring data professional. This text-only course guides you through the foundational concepts of cloud data engineering, enabling you to design and deploy modern data pipelines on AWS. You will learn to: * Understand core cloud data storage concepts using S3 and optimized columnar data formats * Configure serverless data cataloging and ETL pipelines with AWS Glue * Query large-scale datasets directly using Amazon Athena and standard SQL * Apply modern data lakehouse patterns to organize, secure, and govern your data * Implement automated pipeline workflows to process incoming data seamlessly You will start with fundamental cloud storage and data format definitions, transition to cataloging and transforming your data, and finish with practical analytical querying and pipeline automation. This course is designed for beginners with no prior cloud experience, requiring only a basic understanding of data concepts. Start your journey into cloud data engineering and master the essentials of AWS data processing today.