Learn about AWS Data Pipeline and its Benefits

AWS Data Pipeline is a web service that provides with accurate processing and transfer data among various AWS compute and storage services and in-build data sources, at particular time periods.

Using AWS Data Pipeline, we can use our data where it is saved, changed and process it effectively to move the outcomes to AWS services like Amazon S3, Dynamo DB, RDS, and EMR.

It helps us to form difficult data processing works that error free, mostly available, and repeatable. We don’t need to think about availability of the resources, maintaining inter-task dependencies.

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Benefits of AWS Data Pipeline:

1. Easy to use

Using our drag and drop console, we can create pipeline very fast and easily. Some of the common conditions are already given in the system, so there is no need to write any additional logic for using them.

For instance, we can verify whether a Amazon S3 file is present or not by just giving the Amazon S3 bucket name and the file path that we want to verify for.

It also provides us a library of pipeline templates. Using these samples, it is easy to create pipelines for many difficult use cases like regularly processing our log files, saving data to Amazon S3 or running SQL queries.

2. Flexible

It helps us to use different features like scheduling, dependency tracking and error handling. We can use events and predefined conditions, for writing our own custom ones.

This means we can arrange an AWS Data Pipeline for taking actions such as executing SQL Queries, Amazon EMR Jobs against databases. This helps us to make powerful custom pipeline for examining and processing our data without dealing with the difficulties of scheduling and executing our application logic.Know How to learn AWS?

3. Reliable

It is created on a distributed, mostly available infrastructure created for error free execution of our activities. If there is any failure in our activity logic or data sources, It automatically extracts the activity.

If the failure is still present, then AWS Data Pipeline sends us error messages through Amazon Simple Notification Service. We can arrange our notification for any delays in scheduled activities, or errors, and any successful runs.

4. Scalable

It makes it easy to give work to one or many devices, in serial or in parallel. Using AWS Data Pipeline’s design which is flexible, it is easy to process million files like processing a single file.

5. Transparent

We can manage all the computational resources that execute our business logic, that makes it easy to improve or debug our logic. It also delivers full execution logs to Amazon S3 with details record of all actions in our pipeline.Low CostIt is very less expensive. It is billed at a low monthly rate. We can also use it for free with AWS Free Usage.I hope you understood what is AWS Data Pipeline and it’s benefits. Follow my article to get more updates on Amazon Web Services.

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