/* * Copyright 2012-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ /** * <p> * 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. * </p> * <p> * 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. * </p> * <p> * 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. * </p> */ package com.amazonaws.services.datapipeline;