Amazon S3 - Data Storage Foundation
Description
Comprehensive understanding of Amazon S3 as the foundation for data lakes, including storage classes, lifecycle management, security, and optimization.
Learning Objectives
Learners will master Amazon S3 operations, implement storage optimization strategies, configure security and access controls, design data lake architectures, and apply S3 best practices for large-scale data engineering workloads.
Topics (8)
S3 bucket concepts, object storage model, naming conventions, and basic operations for data engineering workflows.
S3 storage classes, intelligent tiering, lifecycle policies, and cost optimization strategies for different data access patterns.
S3 security features, IAM integration, bucket policies, ACLs, encryption options, and compliance requirements.
S3 event notification configuration, Lambda triggers, SQS/SNS integration, and event-driven data pipeline architecture.
Data lake design patterns, folder structures, partitioning strategies, and data organization best practices.
Columnar formats (Parquet, ORC), compression algorithms, and performance implications for different data formats.
Cross-region replication, same-region replication, versioning, and backup strategies for data protection.
S3 performance best practices, request patterns, multipart uploads, transfer acceleration, and optimization techniques.