forked from aws/aws-sdk-java
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathpackage-info.java
More file actions
34 lines (32 loc) · 2.28 KB
/
package-info.java
File metadata and controls
34 lines (32 loc) · 2.28 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
/**
* Synchronous and asynchronous client classes for accessing DataPipeline.
*
* <p>
* This is the <i>AWS Data Pipeline API Reference</i> . This guide provides descriptions and samples of the AWS Data Pipeline API.
* </p>
* <p>
* AWS Data Pipeline is a web service that 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 your application can focus on processing the data.
* </p>
* <p>
* The AWS Data Pipeline API implements two main sets of functionality. The first set of actions configure the pipeline in the web service. You call
* these actions to create a pipeline and define data sources, schedules, dependencies, and the transforms to be performed on the data.
* </p>
* <p>
* The second set of actions are used by a task runner application that calls the AWS Data Pipeline API 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>
* <p>
* AWS Data Pipeline provides an open-source 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>
* The AWS Data Pipeline API uses the Signature Version 4 protocol for signing requests. For more information about how to sign a request with this
* protocol, see <a href="http://docs.amazonwebservices.com/general/latest/gr/signature-version-4.html"> Signature Version 4 Signing Process </a> . In
* the code examples in this reference, the Signature Version 4 Request parameters are represented as AuthParams.
* </p>
*/
package com.amazonaws.services.datapipeline;