Is someone actually using Amazon Data Pipeline
What is AWS Data Pipeline?
AWS Data Pipeline is a web service that you can use to automate the movement and transformation of data. You can use AWS Data Pipeline to create data-driven workflows that allow you to set certain tasks to run only when the previous tasks have completed successfully. All you have to do is set the parameters you want for the data transformations AWS Data Pipeline. then implements the installed logic.
The following components of AWS Data Pipeline are tied to managing the data:
A Pipeline definition sets the business logic of data management. For more information, see Pipeline Definition File Syntax.
A.pipelineplans and performs tasks by creating Amazon EC2 instances for defined activities. All you have to do is upload the pipeline definition to the pipeline and then activate it. You can also edit the pipeline definition of a pipeline that is currently running. All you need to do is reactivate the pipeline for the changes to take effect. You can also deactivate the pipeline, change a data source, and then activate the pipeline again. When you no longer need the pipeline, you can delete it.
Task runnerasks for tasks and carries out these tasks. For example, Task Runner could copy log files to Amazon S3 and start Amazon EMR Cluster. Task Runner is automatically installed and executed on the resources created by your pipeline definitions. You can create your own Task Runner application or use the Task Runner application provided by AWS Data Pipeline. See Task Runner for more information.
You can use AWS Data Pipeline to archive your web server logs on Amazon Simple Storage Service (Amazon S3) on a daily basis, and then run an Amazon EMR (EMR) cluster over these logs on a weekly basis to generate traffic reports. schedules the daily tasks for copying the data and the weekly task for starting the Amazon EMR cluster in the AWS Data Pipeline. AWS Data Pipeline also ensures that Amazon EMR will wait to analyze until the last day's data has been uploaded to Amazon S3, even if there are unforeseen delays in the upload.
Access the Data Pipeline
You can create and manage your pipelines through the following interfaces:
AWS management console: Provides a web interface for accessing AWS Data Pipeline.
AWS Command Line Interface (AWS CLI): Provides commands for a wide range of AWS services, including the AWS Data Pipeline, and is supported on Windows, macOS, and Linux. For more information about installing the AWS CLI, see AWS Command Line Interface. For a list of the AWS Data Pipeline's, see data pipelines.
AWS SDKs - Provides language specific APIs and handles many of the connection details, such as calculating the signatures, processing request resubmission, and handling errors. For more information, see the AWS SDKs.
Query API: Low-level APIs called using HTTPS requests. Using the Query API is the most direct way to access the AWS Data Pipeline. However, many technical processes, such as generating the hash value for signing the request and error handling, then have to be carried out in the application. More information can be found here:AWS Data Pipeline API referenceout.
With Amazon Web Services, you only pay for what you actually use. AWS Data Pipeline's pipeline cost is based on how often your activities and preconditions are scheduled to run and where they run. For more information, see AWS Data Pipeline.
If your AWS account is less than 12 months old, you are eligible for the free tier. The free tier includes three low-frequency prerequisites and five low-frequency activities per month. For more information, see AWS Free Tier.
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