Amazon Web Services - Data Pipeline Overview and Setup

Learn about AWS Data Pipeline, a service designed to simplify data integration and analysis across AWS services. Follow our guide to set up, delete, and utilize the features of AWS Data Pipeline.

Overview of AWS Data Pipeline

AWS Data Pipeline is a service designed to simplify the process of integrating and analyzing data from various AWS services. It helps you manage data workflows, ensuring that data from different sources is processed and moved efficiently across your AWS infrastructure.

How to Set Up a Data Pipeline

Create the Pipeline

  1. Sign in to your AWS account.
  2. Go to the AWS Data Pipeline console.
  3. Select the region where you want to create the pipeline.
  4. Click on the "Create New Pipeline" button.
  5. Fill in the required details:
    • In the Source field, choose "Build using a template" and select "Getting Started using ShellCommandActivity".
    • The Parameters section will appear. You can leave the default values for the S3 input folder and Shell command. For the S3 output folder, click the folder icon and select your S3 buckets.
    • In the Schedule section, keep the default values.
    • For Pipeline Configuration, ensure logging is enabled and select your S3 buckets for logs.
    • In Security/Access, keep the IAM roles as default.
    • Click "Activate" to create the pipeline.

Delete a Pipeline

  1. To delete a pipeline, select it from the list of pipelines.
  2. Click on the "Actions" button and choose "Delete".
  3. Confirm the deletion by clicking "Delete" in the prompt. Note that this will also delete all associated objects.

Features of AWS Data Pipeline

  • Simple and Cost-Efficient: The service offers a drag-and-drop interface and a library of pipeline templates. These templates help you quickly set up pipelines for common tasks like processing logs or archiving data to Amazon S3.
  • Reliable: AWS Data Pipeline is designed to handle faults gracefully. If an activity fails, it will automatically retry. Persistent failures trigger notifications, which you can configure to alert you about successful runs, failures, or delays.
  • Flexible: The service supports a range of features including scheduling, tracking, and error handling. You can configure it to run Amazon EMR jobs, execute SQL queries, or run custom applications on Amazon EC2.