Apache Spark 3 for Data Engineering and Analytics with Python - Rows and Union

Apache Spark 3 for Data Engineering and Analytics with Python - Rows and Union

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Information Technology (IT), Architecture

University

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This tutorial teaches how to create individual row items in PySpark and package them into a DataFrame. It covers creating a list of rows, accessing row items, and using the Union transformation to combine dataframes. The lesson includes practical steps and code examples to guide learners through the process.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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