Apache Spark 3 for Data Engineering and Analytics with Python - Data Preparation

The video tutorial covers the manipulation of RDDs using core RDD functionality in Spark. It begins with an introduction to the differences between data frames and RDDs, highlighting that RDDs manipulate raw Java objects. The tutorial then guides viewers through setting up a Jupyter notebook and creating a Spark session. It explains the concept of lazy operations in RDD transformations, emphasizing that transformations are not executed until an action is called. The tutorial provides a step-by-step process for creating and manipulating RDDs, including creating a list of words, splitting them, and parallelizing them into an RDD. The video concludes with a brief overview of the next lesson on transformations.

What is the primary difference between RDDs and data frames?

• RDDs are easier to use than data frames.

• RDDs manipulate raw Java objects, while data frames use Spark types.

• RDDs are faster than data frames.

• Data frames can only handle structured data.

What is the first step in setting up the environment for working with RDDs?

• Configure Hadoop.

• Install Spark.

• Create a new directory and start a Jupyter notebook.

• Download Java Development Kit.

Which command is used to start a Jupyter notebook?

• jupyter notebook

• jupyter run

• jupyter start

• jupyter open

What is the purpose of the Spark session in the context of RDDs?

• To configure Spark settings.

• To handle data frame operations.

• To create and manage RDDs.

• To manage Spark jobs.

How do you split a sentence into a list of words in Python?

• Using the join() method with a space.

• Using the split() method with a space.

• Using the join() method with a comma.

• Using the split() method with a comma.

What method is used to create an RDD from a list?

• spark.createRDD()

• spark.parallelize()

• spark.toRDD()

• spark.collect()

What is the correct way to print the contents of an RDD?

• Use the print() function directly on the RDD.

• Use the collect() method followed by a loop to print each element.

• Use the display() function on the RDD.

• Use the show() method on the RDD.