PySpark and AWS: Master Big Data with PySpark and AWS - Total Marks by Male and Female Student

The video tutorial explains how to process data to show total marks achieved by male and female students. It covers creating key-value pairs for gender and marks, using map and lambda functions for data manipulation, and applying reduce by key for aggregation. The tutorial emphasizes avoiding string indexing by converting data into lists and highlights the importance of grouping data by keys for effective aggregation.

What is the primary goal of the task discussed in the video?

• To calculate the average marks of students

• To show the total marks achieved by male and female students

• To list all students who scored above a certain threshold

• To find the highest marks achieved by a student

Why is it necessary to convert string data into a list?

• To reduce the size of the dataset

• To improve the readability of the data

• To enable the use of RDD map and split functions

• To make it easier to apply mathematical operations

What is the purpose of creating a key-value pair in this task?

• To sort the data alphabetically

• To facilitate the aggregation of marks by gender

• To convert data into a numerical format

• To filter out unnecessary data

Why is it important to convert marks into integers before summation?

• To reduce the complexity of the code

• To make the data compatible with RDD functions

• To ensure accurate mathematical operations

• To improve the speed of data processing

What does the reduceByKey function do in this context?

• It groups data by keys and aggregates values

• It filters out duplicate entries

• It converts data into a key-value format

• It sorts the data in ascending order

How does the reduceByKey function handle multiple values for the same key?

• It ignores all but the first value

• It sums the values using a lambda function

• It selects the maximum value

• It averages the values

What is the final output of the process described in the video?

• A list of students with their marks

• The total marks achieved by each student

• A graph showing the distribution of marks

• The total marks achieved by male and female students