Understanding AWS Data Pipeline: Core Concepts and Functionality

AWS Data Pipeline is a web service designed for automating the process of moving and transforming data. Utilizing AWS Data Pipeline allows you to establish data-driven workflows, enabling tasks to rely on the successful completion of preceding ones. The service allows you to specify the parameters for your data transformations, with AWS Data Pipeline ensuring the enforcement of the established logic.

Data Pipeline Concepts

Pipeline Defination

A pipeline definition serves as the means by which you convey your business logic to AWS Data Pipeline. AWS Data Pipeline takes charge of identifying tasks, scheduling them, and assigning them to task runners. In the event of a task not achieving successful completion, AWS Data Pipeline initiates retries based on your specified instructions and, if needed, reassigns the task to another task runner. Should a task encounter repeated failures, you have the option to configure the pipeline to notify you.

To illustrate, within your pipeline definition, you may specify that log files generated by your application should be archived monthly throughout the year 2013 to an Amazon S3 bucket. AWS Data Pipeline would then generate 12 tasks, each responsible for transferring a month’s worth of data, regardless of the varying number of days in each month.

Pipeline Components

Components within a pipeline embody…