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02.1 Batch predictions via scheduling

<p>This workflow demonstrates how to calculate predictions in <strong>batch</strong> on a regular basis. It can be <strong>scheduled</strong> on KNIME Hub.</p>

02.1 Batch predictions via scheduling

This workflow demonstrates how to calculate predictions in batch on a regular basis. It can be scheduled on KNIME Hub.

Dates filtering
Select data forpredictions, e.g., basedon execution date
Spark SQL Query
KNIME Hub Authenticator
Select featuresfor predictions
Spark Column Filter
Add a timestamp
Spark SQL Query
Spark Missing Value (Apply)
Apply
Spark Predictor (Regression)
Space Connector
Connect to yourDatabricks workspace
Databricks Workspace Connector
Space Connector
Execution date
Date&Time Configuration
Save predictionsand append new
Spark to Parquet
Preprocessing modelfor missing values
Model Reader
Import Unity datato a Spark DataFrame
Parquet to Spark
Connect and start yourall-purpose computecluster on Databricks
Create Databricks Environment
TrainedML model
Model Reader

Nodes

Extensions

  • No modules found

Links

Download

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

Download Workflow
Created by: ladarudnitckaia
Created at: 2025-05-26
On NodePit since: 2026-07-10
Last update: 2026-07-16
Created with KNIME version: v5.11.0
Tags: Databricksschedulebatch predictions

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