Apache Spark 3 for Data Engineering and Analytics with Python - MacOS - Testing the Spark Installation

The video tutorial introduces the Spark Shell and demonstrates writing a simple test program using PySpark. It covers creating a range of numbers and explains the concept of RDDs (Resilient Distributed Datasets) and data partitioning. The tutorial then shows how to filter odd numbers from an RDD using a Python Lambda function. Finally, it confirms the successful execution of the code and exits the Spark Shell.

What is the purpose of the Spark shell in the context of this lesson?

Describe how to create a variable to hold a range of numbers from 0 to 1000 in Python.

What does RDD stand for and what is its significance in Spark?

Explain the process of creating an RDD using the parallelize method.

What is the role of the Lambda function in filtering odd numbers from the RDD?

How does the filter method in RDD work with the results of the Lambda function?

What command is used to exit the Spark shell, and what does it signify?