Writes a Spark data to Text. Notice: This feature requires at least Apache Spark 1.5. This node can access a variety of different…

Creates a Spark DataFrame/RDD from given Text file. Notice: This feature requires at least Apache Spark 1.5. This node can access…

Writes a Spark DataFrame/RDD with a single string column into a text file. Notice: This feature requires at least Apache Spark 1.…

Reads text from HDFS into a Spark DataFrame/RDD. Notice: This feature requires at least Apache Spark 1.6.

Reads text from HDFS into a Spark DataFrame/RDD. Notice: This feature requires at least Apache Spark 1.6.

This node helps handle missing values found in the ingoing Spark data. The first tab in the dialog (labeled Default ) provides de…

Reads missing value replacement settings from the PMML port and applies them to the data. The node can handle the output of the K…

Creates a fully functional big data environment for testing purposes, including Apache Hive, Apache Spark and a remote file syste…

This rule learner* uses Spark MLlib to compute frequent item sets and then extract association rules from the given input data. A…

This node uses Spark MLlib to compute frequent item sets. See the Spark Association Rule Learner node to generate frequent item s…

Creates a fully functional big data environment for testing purposes, including Apache Hive, Apache Spark and a remote file syste…

Creates a fully functional big data environment for testing purposes, including Apache Hive, Apache Spark and a remote file syste…

The dialog allows you to change the name of individual columns by editing the text field. A configuration box with a red border i…

This node applies association rules created by a Spark rule learner*. The rules are applied to a given column with item sets (tra…

The input data is split into two partitions (i.e. row-wise), e.g. train and test data. The two partitions are available at the tw…

This node takes the PMML transformation model and compiles it into bytecode and runs it on the given data. This node is typically…

This node takes the data transformations bytecode produced by a PMML Compiler and runs it on the given data. To execute models, u…

This node utilizes the Apache Spark collaborative filtering implementation. Notice: The matrix factorization model contains refer…

This node allows you to execute arbitrary java code to manipulate or create Spark DataFrames. Simply enter the java code in the t…

This node allows you to execute arbitrary java code to manipulate or create Spark RDD. Simply enter the java code in the text are…