RDD vs DataFrame vs Dataset | big data interview questions and answers #10 | Spark | TeKnowledGeek

RDD vs DataFrame vs Dataset | big data interview questions and answers #10 | Spark | TeKnowledGeek

Hello and Welcome to Big Data and Hadoop Tutorial by TeKnowledGeek. This tutorial is based on top Hadoop Interview questions and answers that can help anyone to get a job in Big Data Career. This is the latest video with the collections of big data interview questions from the subject matter experts in the big data field will help you pass interview questions.

Let’s know the questions that are explained in this video. In this video, the interview questions are based on Spark and the questions as follows,

1. What is the difference between RDD, DataFrame, Dataset and SQL Tables?
2. When can we use RDD, DataFrame, Dataset and SQL Tables?
3. What is the benefit of using DataFrame, Dataset and SQL Tables over RDD?
4. Can we use Dataset in pyspark?
5. How the spark optimize the execution plan in case of DataFrame, Dataset and SQL Tables?

Watch the entire video, learn and understand the answers for the above big data interview questions and learn how to clear the big data interview and get a job in job in Big Data stream.
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