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01. Remote Workflow Execution

Exercise 01. Remote Workflow Execution

This example workflow implements a basic customer segmentation through a clustering procedure on a preconfigured data set. No additional input is required.

Purpose is to explore remote execution options via KNIME Server.

Exercise: Remote Workflow ExecutionThis example workflow implements a basic customer segmentation through a clustering procedure on a preconfigured data set. Noadditional input is required. Data Reading Contract DataOperational DataGeo Coordinate Data Pre-Processing 1. If needed: Conversion To String Discretization (binning) Aggregation2. Normalization Clustering 1. k-Means2. Denormalization for data & cluster centers Reporting Report generationcontaining informationabout cluster centers Activity 2- Create a copy of the wf and rename it as follows: "01. Remote Workflow Execution_YourInitials"- Upload the Workflow to KNIME Server, to the directory: Solutions -> Uploaded Workflows- Schedule a workflow execution in 5 minutes and send yourself a notification on completion. Activity 3- Make some changes to the workflow (for instance create 5 clusters instead of 4) "01. Remote Workflow Execution_YourInitials" and re-deploy it to KNIME Server. Createa snapshot of the workflow and check the created snapshot with the Server History view- Download the created snapshot in the LOCAL Workspace- Use the WorkDiff feature to compare the downloaded workflow with the latest workflow uploaded on the KNIME Server Node 138back to originaldata rangeback to originaldata rangeinput datain [0,1]Cluster CentersChurn -> StringCalls DataContract DataCitiesLongitudeLatitudek-Means Denormalizer (PMML) Denormalizer (PMML) Normalizer (PMML) Data to Report Number To String Excel Reader File Reader Table Reader Joiner Joiner Exercise: Remote Workflow ExecutionThis example workflow implements a basic customer segmentation through a clustering procedure on a preconfigured data set. Noadditional input is required. Data Reading Contract DataOperational DataGeo Coordinate Data Pre-Processing 1. If needed: Conversion To String Discretization (binning) Aggregation2. Normalization Clustering 1. k-Means2. Denormalization for data & cluster centers Reporting Report generationcontaining informationabout cluster centers Activity 2- Create a copy of the wf and rename it as follows: "01. Remote Workflow Execution_YourInitials"- Upload the Workflow to KNIME Server, to the directory: Solutions -> Uploaded Workflows- Schedule a workflow execution in 5 minutes and send yourself a notification on completion. Activity 3- Make some changes to the workflow (for instance create 5 clusters instead of 4) "01. Remote Workflow Execution_YourInitials" and re-deploy it to KNIME Server. Createa snapshot of the workflow and check the created snapshot with the Server History view- Download the created snapshot in the LOCAL Workspace- Use the WorkDiff feature to compare the downloaded workflow with the latest workflow uploaded on the KNIME Server Node 138back to originaldata rangeback to originaldata rangeinput datain [0,1]Cluster CentersChurn -> StringCalls DataContract DataCitiesLongitudeLatitudek-Means Denormalizer (PMML) Denormalizer (PMML) Normalizer (PMML) Data to Report Number To String Excel Reader File Reader Table Reader Joiner Joiner

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
On NodePit since: 2024-01-14
Last update: 2026-01-07
Created with KNIME version: v4.4.1
Tags: education

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