RDD vs DataFrame vs Dataset in Spark | Key Differences Explained with Examples | Data Engineering
In this video, we will explore the key differences between RDD, DataFrame, and Dataset in Apache Spark. Understanding these three core components is essential for working efficiently with Spark. We’ll compare them based on performance, ease of use, type safety, and more — with practical examples for better clarity.
🔹 What is an RDD?
🔹 What is a DataFrame?
🔹 What is a Dataset?
🔹 When to use each?
🔹 Performance and optimization differences
This video is suitable for beginners and intermediates who want to strengthen their knowledge of Spark’s core APIs.
👉 Don't forget to subscribe to the channel and like the video for more Spark tutorials!