Marks the start of a to be captured workflow segment. Learn more
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Getting started with Continuous Deployment for Data Science (CDDS) for Business Hub
Browse example workflows, node explanations and further resources for learning about CDDS for Business Hub.
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Introduction to CDDS
KNIME’s new CDDS extension for KNIME Business Hub adds the ability to automate the end-to-end process of deploying data science solutions safely into production - empowering large-scale dissemination of data-driven insights across the enterprise. Through its intuitive UI, users can easily deploy their data science workflows, check their validation status, as well as monitor and retrain them once in production, while administrators can oversee the entire deployment flow. The extension includes a set of KNIME workflows and flexible data apps that help administrators ensure only validated solutions are deployed. CDDS leverages key enterprise features of KNIME software such as integrated deployment, KNIME Hub spaces with defined execution contexts, workflow triggers, and more. The extension is customizable and allows for enterprise teams to add validation and governance capabilities, use the company-wide archival structure for auditability, or change monitoring and retraining strategies.
CDDS Documentation
The CDDS documentation includes instructions for installation and configuration along with user guidance.
Install CDDS into KNIME Business Hub
Copy the install workflow for CDDS to your local KNIME Business Hub. Execute the workflow as a data app to install and configure CDDS.
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Workflow
Install CDDS using a KNIME data app
Install CDDS using a KNIME data appUse this workflow to install and configure CDDS on KNIME Business Hub.
Continuous Deployment for Data ScienceInstall CDDS into KNIME Business HubInstall CDDS using a KNIME data app (Hub v1.5 or higher)
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Make the most of CDDS with Integrated Deployment
KNIME’s Integrated Deployment capability enables the creation of workflows from workflows. Use Integrated Deployment to capture workflow segments to apply a model within the workflow that creates the model. Keeping the model creation and model application logic together in one workflow helps to automate the MLOps process. It also keeps the model creation and application logic always in sync.
Capture workflow segments and save them to a KNIME Hub space
Use the Integrated Deployment nodes within a KNIME workflow to generate workflows from a workflow. Use the capture nodes to capture segments of a workflow. Use the combiner and writer nodes to assemble a workflow and persist the results.
Use these examples to get started with Integrated Deployment
These example workflows demonstrate the usage of the Integrated Deployment nodes within the KNIME Analytics Platform.
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Workflow
Integrated Deployment Example
This workflow shows the Integrated Deployment Extension nodes and how to combine them to perform different operations.
Examples09_Enterprise04_Integrated_Deployment04_Integrated_Deployment_Extension_Guide01_Integrated_Deployment_Example
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Workflow
Captured Workflow Example
This is the workflow that is captured in the workflow Integrated Deployment Example in the same folder of this workflow.
Examples09_Enterprise04_Integrated_Deployment04_Integrated_Deployment_Extension_Guide02_Captured_Workflow_Example
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Learn more about Integrated Deployment with the following documentation.
Follow the links below to get started.
Integrate your workflows with KNIME Business Hub
Several integration nodes have been added to KNIME to support interaction with KNIME Hub.
Connecting to KNIME Hub
Authenticate and connect to KNIME Hub.
Managing KNIME Hub deployments
Manage workflow deployments on KNIME Hub.