Apache Spark 3 for Data Engineering and Analytics with Python - Challenge - XYZ Research Part 1

Apache Spark 3 for Data Engineering and Analytics with Python - Challenge - XYZ Research Part 1

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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This video tutorial guides viewers through the process of analyzing research project data over three years using Spark. It begins with creating a new heading in a markdown cell, followed by loading data from an attached file. The tutorial then demonstrates how to create RDDs for each year, combine them using union operations, and ensure uniqueness with distinct operations. Finally, it concludes by counting the total number of unique research projects, revealing that 12 projects were conducted over the three years.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the first step to create a new heading in the lesson?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How do you confirm the creation of a heading in markdown?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of copying data from the attached file?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

How do you create multiple RDDs for different years?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What transformation is used to combine data from multiple years?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the final step to determine the number of unique research projects?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What was the total number of research projects conducted in the first three years?

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