AWS Data Pipeline
A web service that helps you reliably process and move data between different AWS compute and storage services.
Description
AWS Data Pipeline is a cloud-based data workflow service that allows users to automate the movement and transformation of data across various AWS services and on-premises data sources. It provides a flexible and scalable environment to define data-driven workflows, enabling organizations to process data efficiently. Users can create pipelines that specify the data sources, the processing steps, and the destinations, allowing for scheduled or event-driven data processing. For instance, a retail company might use AWS Data Pipeline to extract sales data from Amazon S3, process it using Amazon EMR, and then store the results in Amazon Redshift for analysis. The service supports complex workflows with dependency management, retries, and monitoring, making it easier for teams to focus on data analysis rather than data movement. Data Pipeline integrates seamlessly with other AWS services, providing a powerful solution for managing data workflows in a cloud environment.
Examples
- An e-commerce business using AWS Data Pipeline to regularly move and analyze transaction data from Amazon S3 to Amazon RDS for reporting.
- A media company utilizing AWS Data Pipeline to automate the ingestion and processing of large video files from Amazon S3 into AWS Elemental MediaConvert for transcoding.
Additional Information
- AWS Data Pipeline supports scheduling of recurring data workflows, allowing for automated execution at specified intervals.
- It provides built-in retry logic and error handling to ensure robust data processing and minimal downtime.