Amazon Announces Automated Data Workflow Service
Amazon Web Services (AWS) introduces AWS Data Pipeline, which is a new service that manages data flow from disparate locations to correct destinations.
Data flow and processing can be applied to any amount of data and can be determined via data-driven workflows and dependency checking.
Each Data Pipeline is defined via a JSON text file and includes a set of data sources, preconditions, destinations, processing steps, and an operational schedule. Once the pipeline is defined, it can be run at a regular schedule. Amazon will also offer a drag-and-drop UI to schedule and run pipelines.
For example, Amazon said, a customer could "arrange to copy log files from a cluster of Amazon EC2 instances to an S3 bucket every day, and then launch a massively parallel data analysis job on an Elastic MapReduce cluster once a week."
Optionally, Amazon allows users to set a precondition that must exist before a pipeline can be executed. A precondition could be, for example, the presence of an input file. A completed pipeline job will result in a message sent to the Amazon SNS.
Amazon said that the AWS Data Pipeline is currently in a limited beta. Users who are interested in participating should contact AWS sales.
Wolfgang GruenerWolfgang Gruener is a contributor to Tom's IT Pro. He is currently principal analyst at Ndicio Research, a market analysis firm that focuses on cloud computing and disruptive technologies, and maintains the conceivablytech.com blog. An 18-year veteran in IT journalism and market research, he previously published TG Daily and was managing editor of Tom's Hardware news, which he grew from a link collection in the early 2000s into one of the most comprehensive and trusted technology news sources.
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