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KNIME Server Medium for AWS

By: Latest Version: 4.8.2

Product Overview

Use the KNIME Analytics Platform to automate advanced analytics, machine learning, or data prep/ETL tasks. Productionize your data science applications using the KNIME Server Medium for AWS and extend your analytical applications to your entire organization.

KNIME complements Amazon AWS services such as SageMaker, Kinesis, RedShift, Comprehend, Athena and EMR as integrated services.

Share data, nodes, metanodes, and workflows across your team and throughout your company. Versioning allows storage of each workflow revision with all of its intermediate modifications, enabling extensive debugging, tracking and audit capabilities.

KNIME Server gives you control over access management at the node, file, and application level. KNIME Server enables your team to offload execution from personal laptops to a well-provisioned AWS instance.

Scheduled execution enables delayed and recurring workflow deployment, allowing maximum flexibility for distribution among teams and infrastructure.

KNIME Server includes KNIME WebPortal, enabling access to your analytics on any device with a web browser. Data scientists can guide anyone in the organization to use advanced analytics, publish workflow results, or schedule execution remotely. Workflows published to KNIME Server are invocable via a REST interface. This enables integrating workflows with your enterprise and web applications. A common use case of this integration is to apply models on an event basis.



Operating System

Linux/Unix, Ubuntu 18.04 LTS

Delivery Methods

  • Amazon Machine Image

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