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02. Data Manipulation

Data Manipulation
Activity I - Concatenate web activity data from the old and new systems Activity II - Join all data into one table using a series of joiner nodes (use "Customer Key" as the joiningcolumn) - Filter out duplicate rows Activity: Data Manipulation & Aggregation - Replace the written sentiment values with the numeric sentiment scores - Make sure that all product names in the product data spreadsheet are written inlower case letters Sentiment Evaluation from KNIMEWebActivity.sqliteWebActivityOld Web Data Sentiment Rating+Sentiment DescriptionDemographicsand Historyfrom SAS fileProducts<-> CustomerKeyTable Reader SQLite Connector DB Reader DB Table Selector CSV Reader CSV Reader CSV Reader Excel Reader Activity I - Concatenate web activity data from the old and new systems Activity II - Join all data into one table using a series of joiner nodes (use "Customer Key" as the joiningcolumn) - Filter out duplicate rows Activity: Data Manipulation & Aggregation - Replace the written sentiment values with the numeric sentiment scores - Make sure that all product names in the product data spreadsheet are written inlower case letters Sentiment Evaluation from KNIMEWebActivity.sqliteWebActivityOld Web Data Sentiment Rating+Sentiment DescriptionDemographicsand Historyfrom SAS fileProducts<-> CustomerKeyTable Reader SQLite Connector DB Reader DB Table Selector CSV Reader CSV Reader CSV Reader Excel Reader

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

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On NodePit since: 2021-03-16
Last update: 2024-05-01
Created with KNIME version: v4.3.0
Tags: ETLconcatenatejoinpreprocessingremove duplicatestransformreplaceeducation

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