Amazon S3 (Simple Storage Service) is a highly scalable and secure object storage solution that serves as a versatile component in data workflows. In a streaming ETL (Extract, Transform, Load) workflow, S3 often acts as a source, destination, or intermediate storage for raw and transformed data. Its flexibility and cost-effectiveness make it an ideal choice for handling large-scale data streams and archiving processed data.

• Raw Data Ingestion: Stream and store raw data from multiple sources, such as IoT devices or application logs, for further processing.
• Intermediate Storage: Use S3 as a staging area for ETL pipelines to temporarily store data between extraction and transformation steps.
• Data Lake Creation: Store transformed and structured data in S3 to create a data lake for analytics and machine learning.
• Archival and Compliance: Use S3’s versioning and lifecycle policies to archive data for compliance and long-term storage needs.