PySpark and AWS: Master Big Data with PySpark and AWS - Solution 1 (Map)

PySpark and AWS: Master Big Data with PySpark and AWS - Solution 1 (Map)

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial guides viewers through creating a file, uploading it to a Databricks environment, and reading it from an RDD. It then explains how to write a mapper function in Python to process strings by calculating their lengths. The tutorial demonstrates iterating over strings, appending their lengths to a list, and returning the results. It emphasizes understanding Spark and RDD operations, encouraging viewers to ask questions if needed.

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3 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What does the L2 list represent in the mapper function?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of returning the L2 list after processing the input strings.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the RDD collect method in this context?

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