Package datapipeline provides the API client, operations, and parameter types
for AWS Data Pipeline.
AWS Data Pipeline configures and manages a data-driven workflow called a
pipeline. AWS Data Pipeline handles the details of scheduling and ensuring that
data dependencies are met so that your application can focus on processing the
data. AWS Data Pipeline provides a JAR implementation of a task runner called
AWS Data Pipeline Task Runner. AWS Data Pipeline Task Runner provides logic for
common data management scenarios, such as performing database queries and
running data analysis using Amazon Elastic MapReduce (Amazon EMR). You can use
AWS Data Pipeline Task Runner as your task runner, or you can write your own
task runner to provide custom data management. AWS Data Pipeline implements two
main sets of functionality. Use the first set to create a pipeline and define
data sources, schedules, dependencies, and the transforms to be performed on the
data. Use the second set in your task runner application to receive the next
task ready for processing. The logic for performing the task, such as querying
the data, running data analysis, or converting the data from one format to
another, is contained within the task runner. The task runner performs the task
assigned to it by the web service, reporting progress to the web service as it
does so. When the task is done, the task runner reports the final success or
failure of the task to the web service.