Apache Spark 3 for Data Engineering and Analytics with Python - Challenge Part 3 - Q4 Products Bought Together

The video tutorial addresses a complex question about identifying products frequently sold together in New York. It guides through setting up a data analysis environment using PySpark, preparing and filtering data, and aggregating it to create product lists per order. The analysis reveals that the Google phone and USB C charging cable are often bought together. The session concludes with a summary of findings.

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