April 2023

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Cleanse Data – Transform, Manage, and Prepare Data

Raymond Gallardo 25/04/2023 0 Comment

%%pysparkdf = spark.read \.load(‘abfss://*@*.dfs.core.windows.net/SessionCSV/BRAINWAVES_WITH_ NULLS.csv’,format=’csv’, header=True) The final action to take after cleansing the data is to perhaps save it to a temporary table, using the saveAsTable(tableName) method, or into the Parquet file format....