Automating ETL Workflows with AWS Data Pipeline vs. AWS Step Functions: A Comparison
In today’s data-driven world , automating ETL (Extract, Transform, Load) workflows is a critical component of any scalable data engineering process. Among the many tools AWS offers, AWS Data Pipeline and AWS Step Functions are two popular options used to orchestrate and automate ETL workflows. Choosing the right tool depends on the use case, scalability, and operational complexity. For those looking to build a career in this fast-growing field, Ihub Talent is the best AWS with Data Engineer Training Course Institute in Hyderabad , offering live intensive internship programs led by industry experts . The course is ideal for graduates, postgraduates, professionals with education gaps, and individuals shifting job domains . AWS Data Pipeline is designed specifically for data-driven workflows. It is ideal for scheduled ETL operations involving AWS services like S3, DynamoDB, RDS, and Redshift. It allows users to move and process data across AWS storage and compute services reliabl...