NodeCSV to Spark

Other

Creates a Spark DataFrame/RDD from given CSV file. See CSV Data Source documentation for more information.

Notice: This feature requires at least Apache Spark 1.5.

Input ports

  1. Remote file connection Type: Remote Connection
    Spark compatible connection (HDFS, WebHDFS, HttpFS, S3, Blob Storage, ...)
  2. Spark context Type: Spark Context
    Required Spark context.

Output ports

  1. Spark data Type: Spark Data
    Spark DataFrame/RDD

  1. Recommending Restaurants Using Association Rules

    recommendation engine retail supply chain Spark
    In this workflow we demonstrate how to use the KNIME Spark nodes for giving locality recommendations. For this we are us…
    knime > Examples > 10_Big_Data > 02_Spark_Executor > 08_Learning_Asociation_Rule_for_Next_Restaurant_Prediction

  2. Movie Recommendation Engine with Spark Collaborative Filtering

    retail association rules recommandation engine market basket analysis MBA Apriori algorithm collaborative filtering; Spark supply chain retail movie film
    1. Create local Spark Context 2. Read ratings.csv and movies.csv from movie-lens dataset into Spark (https://grouplens.o…
    knime > Examples > 10_Big_Data > 02_Spark_Executor > 10_Recommendation_Engine_w_Spark_Collaborative_Filtering