AWS Data Pipeline
AWS Data Pipeline is a cloud-based solution for the management of data flow from one system to another. It is designed by Amazon for its Web Service cloud platform. It finds a significant application in ensuring a smooth movement of data from the cloud storage to a computational platform and vice-versa. Even the most complex linking of platforms and data storage can be performed quickly and efficiently with the help of AWS Data Pipeline.
Top AWS Data Pipeline Alternatives
- AWS Database Migration Service
Top AWS Data Pipeline Alternatives and Overview
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AWS Data Pipeline Review and Overview
A cloud-computational platform is incomplete without the thousands of metaphorical superhighways of data running through it, each one transferring terabytes of data back and forth repeatedly. A single problem in these links can result in an enormous loss in productivity and, in the worst-case scenario, revenue. Amazon again saves its AWS users with the AWS Data Pipeline service, which sees to the fact that every bulk data transfer operation between the computing platform, the data source, and the storage platform occurs seamlessly.
Developing intricate data pipelines with simplicity
With specific integrated cloud platforms, the task of creating useful and simple data flows can be a chore, but this doesn’t happen with the AWS platform. The reason for this is that the AWS Data Pipeline is incredibly easy to set up, even by non-programmers. It uses a simple, drag, and drop methodology to create data pipelines between different cloud platforms. Additionally, some standard data querying and management functions are pre-coded into the platform in a GUI button-based format for convenience. Apart from this, users can also relish the comfort of several templates for frequently-used pipelines.
A wide range of use-cases ensures that the service is always reliable
The AWS Data Pipeline system ensures that the user can make the most out of all the powerful Amazon Cloud tools at their disposal, and enables several innovative and fruitful integrations as well. It also has some advanced functionalities of its own that bring a level of smartness and control to the process of data flow. Examples of such features include scheduled transfers and dependency linking. Developers may even write complex conditions and logics for the flow of data to take place. It also enables certain advanced functionalities that ultimately serve to smoothen the workflow.
Cost-effectiveness at its finest
AWS-based cloud services are generally cheap in their subscription when compared to what they offer and how much revenue they save, and the Data Pipeline service is no different. When the user analyses its flexibility and scalability, its cause of high ROI becomes visible.
Company Name: AWS
Founded in: 2006