This workflow demonstrates the usage of the Spark MLlib to PMML node. Together with the Compiled Model Predictor and the JSON Input/Output node it can be used to model a so called lambda architecture …

This workflow demonstrates the usage of the Hive to Spark and Spark to Hive nodes that allow you to transfer data between Spark and Hive.

- Append color information based on class labels - Split data into training and test set - Train decision tree classifier on training set - Apply trained model on test set - Score model

Big Data Course Hadoop Exercise #2 Solution Make sure you have executed the /2_Hadoop/2_Exercises/00_Setup_Hive_Table workflow during your current KNIME session before running this workflow.

Big Data Course Hadoop Exercise #1 Make sure you have executed the /2_Hadoop/2_Exercises/00_Setup_Hive_Table workflow during your current KNIME session before running this workflow.

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Big Data Course Hadoop Exercise #2 Make sure you have executed the /2_Hadoop/2_Exercises/00_Setup_Hive_Table workflow during your current KNIME session before running this workflow.

This workflow is part of the model factory eco system. Please refer to our white paper for further details.

- Extract keywords from Resource Documents. - Extract keywords from Forum questions. - Run a similarity search between keywords vectors from resources and forum questions and find the minimum distance…

In this use case, we use the NYC taxi dataset and a Random Forest to train a simple time series prediction model to predict taxi demand in the next hour based on data from past hours. For better scala…