Getting Started with Scala and Apache Spark | Chapter 2b - Spark RDD vs DataFrame: Python Example

This video is continuation of chapter 2a where we show the same implementation in Python using PySpark.
In Chapter 2 of our Scala and Spark Big Data series, we dive into the basics of Spark by running some essential commands and exploring the difference between RDDs and DataFrames. You’ll learn how to work with text files in Spark, perform basic transformations like counting lines and words, and convert RDDs to DataFrames and vice versa.

In this video, you'll learn:

How to read a text file in Spark
Difference between RDD and DataFrame
When to use RDDs and DataFrames
Word and line count in a text file
Understanding and configuring SparkSession for your Spark applications
Make sure to watch the whole video and follow along with the examples. Subscribe and stay tuned for more chapters in this comprehensive series on mastering Big Data with Scala and Spark!