Spark RDD vs DataFrame vs Dataset | Which One to Use?
In this video, we explain the differences between RDD, DataFrame, and Dataset in Apache Spark
in a simple and interview-focused way.
📌 What you’ll learn in this video:
✔ What is RDD, DataFrame, and Dataset in Spark
✔ Layman examples to understand Spark APIs easily
✔ Pros and cons of RDD vs DataFrame vs Dataset
✔ When to use which Spark API in real projects
✔ Catalyst Optimizer, Tungsten Execution explained
✔ Why Dataset is less popular but powerful
✔ Most important Spark interview questions
This video is especially helpful for:
👉 Data Engineer interviews
👉 Apache Spark beginners
👉 PySpark learners
👉 Big Data professionals
📚 Language: Hinglish (Mostly English)
⏱ Duration: 5 minutes
🎯 Focus: Interview concepts + real understanding
If you find this video helpful:
👍 Like the video
🔔 Subscribe to the channel
📤 Share it with your interview friends
Let’s crack data engineering interviews together 🚀
#ApacheSpark #DataEngineering #PySpark #SparkInterview #BigData #RDD #DataFrame #Dataset