Apache Spark 3 for Data Engineering and Analytics with Python - PySpark Installation

The video tutorial guides viewers through the process of installing PySpark using the Python package manager. It demonstrates how to load the PySpark console, write test code to generate a list of odd numbers, and create an RDD using the parallelize method. The tutorial also explains how to filter data using a Lambda function and concludes by printing the results and exiting the PySpark shell.

What are the prerequisites mentioned for installing PySpark?

• Java, Hadoop, and R

• Java, Hadoop, and Python

• Java, Scala, and Python

• Java, Scala, and R

Which tool is used to install PySpark?

• Apache Maven

• Gradle

• Python Package Manager

• Node Package Manager

What command is used to load the PySpark console?

• spark-shell

• spark-console

• pyspark

• spark-submit

What is the purpose of the example code in the PySpark console?

• To create a list of composite numbers

• To create a list of prime numbers

• To create a list of odd numbers

• To create a list of even numbers

What does RDD stand for in Spark?

• Reliable Distributed Datasets

• Reliable Distributed Data

• Resilient Distributed Datasets

• Resilient Distributed Data

What method is used to create an RDD in Spark?

• parallelize

• reduce

• map

• filter

Which function is used to filter odd numbers in the example?

• map

• reduce

• filter

• collect