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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 Demographics and History from SAS fileSentiment Evaluation from KNIMESentiment Rating +Sentiment DescriptionOld Web DataWebActivity.sqliteWebActivityProducts<-> CustomerKey File Reader Table Reader File Reader File Reader SQLite Connector DB Reader DB Table Selector Excel Reader (XLS) 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 Demographics and History from SAS fileSentiment Evaluation from KNIMESentiment Rating +Sentiment DescriptionOld Web DataWebActivity.sqliteWebActivityProducts<-> CustomerKey File Reader Table Reader File Reader File Reader SQLite Connector DB Reader DB Table Selector Excel Reader (XLS)

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On NodePit since: 2020-04-09
Last update: 2024-12-17
Created with KNIME version: v4.1.1
Tags: ETLconcatenatejoinpreprocessingremove duplicatestransformreplaceeducation

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