AWS Step Functions for Data and ML Pipelines
AWS Step Functions serves as a serverless orchestration service that can be leveraged to build and manage data and machine learning pipelines.
AWS Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data/ML pipelines by orchestrating AWS services. It is a serverless orchestration service for integrating with AWS Lambda functions and other AWS services to build business-critical applications. Through the Step Functions graphical console, the user sees their application’s workflow as a series of event-driven steps. Workflows are defined as state machines composed of tasks. Each step in a workflow is called a state. A Task state represents a unit of work that another AWS service, such as Lambda, performs, and can call any AWS service or API.
AWS Step Functions is a serverless orchestration service for integrating with AWS Lambda functions and other AWS services to build business-critical applications. Through the Step Functions graphical console, the user sees their application’s workflow as a series of event-driven steps. Step Functions is based on state machines and tasks. In Step Functions, a workflow is called a state machine, which is a series of event-driven steps. Each step in a workflow is called a state. A Task state represents a unit of work that another AWS service, such as Lambda, performs. A Task state can call any AWS service or API.