PySpark RDD Tutorial | Ways to Create RDD with Examples (Parallelize, TextFile, DataFrame & More)

In this video, we will learn different ways to create RDD in PySpark with simple and practical examples that you can follow along.

Before jumping into coding, we will first understand:
👉 What is RDD (Resilient Distributed Dataset)?

Then we will explore multiple ways to create RDD step-by-step:
✔️ Parallelize method
✔️ textFile() method
✔️ wholeTextFiles() method
✔️ Creating RDD using transformations
✔️ Creating RDD from DataFrame
✔️ Creating an Empty RDD

This is a beginner-friendly + interview-focused tutorial that will help you build a strong foundation in PySpark.

🧑‍💻 What You’ll Learn
• What is RDD in PySpark
• How RDD works internally
• Different ways to create RDD
• Practical coding examples
• Real-world understanding for interviews

📍 Timestamps:
00:00 Introduction
01:08 Parallelize Method
03:24 textFile Method
04:48 wholeTextFiles Method
05:58 RDD from transformation
07:04 RDD from Dataframe
08:28 emptyRDD

🔔 Subscribe to DEATCO for more content on:
PySpark
Apache Spark
Hadoop
Data Engineering Roadmap

#PySpark #RDD #dataframes #apachespark #pycharm #ApacheSpark #DataEngineering #Python #BigData #DEATCO #BigData #RDD #SparkTutorial #Python #DataEngineer

Видео PySpark RDD Tutorial | Ways to Create RDD with Examples (Parallelize, TextFile, DataFrame & More) канала DEATCO