RDD vs DataFrame vs Dataset — Which Should You Use?
In this video, we break down the differences between RDD, DataFrame, and Dataset in Apache Spark — three core APIs used in data engineering.
If you're confused about which one to use, this video will help you clearly understand:
What RDD, DataFrame, and Dataset are
How they differ in performance and usage
When to use each in real-world scenarios
We also explain why DataFrame is the most commonly used API in modern Spark applications.
This is a must-know concept for anyone learning Data Engineering, Big Data, or Apache Spark.
More videos in this series cover Spark fundamentals, architecture, and real-world concepts.