Spark Programming in Python for Beginners with Apache Spark 3 - Misc Transformations

Spark Programming in Python for Beginners with Apache Spark 3 - Misc Transformations

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

This video tutorial covers various data transformation techniques using PyCharm, Jupyter, and DataBricks. It demonstrates creating DataFrames, attaching schemas, adding unique identifiers, using CASE expressions, handling data type issues, and casting. The tutorial also explains adding and removing columns, sorting, and dealing with duplicates.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of using the 'withColumn' method in data frame transformations?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the potential issues with incorrect data types in a data frame?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you drop duplicate records from a data frame based on specific columns?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how to sort a data frame by a specific column in descending order.

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