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Retail Data Analysis with Spark by mokhtar.sellami is a document available to read on EtoBox.

The document outlines a Spark application for analyzing retail data using DataFrames. It creates a Spark session, defines a schema for order data, reads CSV files into a DataFrame, and then saves the DataFrame as a JSON file. The code includes configurations for reading the data and specifying the output format.

Author
mokhtar.sellami
Language
EN