AI-powered-data-pipeline

AI-Powered Data Pipeline with AWS Glue, S3, Athena, and SageMaker

AI-Powered Data Pipeline with AWS Glue, S3, Athena, and SageMaker

This project builds a serverless, AI-powered data pipeline using AWS Glue for ETL (Extract, Transform, Load), Amazon S3 for data storage, AWS Athena for querying, and Amazon SageMaker for machine learning tasks.

Architecture

The architecture includes the following AWS services:

• AWS Glue: For ETL jobs to process and transform data.
• Amazon S3: For storing raw and processed data.
• AWS Athena: For querying data stored in S3 using SQL.
• Amazon SageMaker: For training machine learning models and deploying them.

Services Used:

• AWS Glue
• Amazon S3
• AWS Athena
• Amazon SageMaker
• AWS Lambda (for orchestration)
• AWS Step Functions (for workflow orchestration)