---
title: "Discussion on \"How to Perform Efficient Data Transformations Using PySpark\" | Hashnode"
description: "Discussion on \"How to Perform Efficient Data Transformations Using PySpark\". Here are some common interview questions and answers related to transformations in Spark:\n1. What are narrow and wide transformations in Spark?\nAnswer: Narrow transformations are transformations where each partition of the parent RDD is used to produ..."
url: "https://hashnode.com/posts/how-to-perform-efficient-data-transformations-using-pyspark/671421ac80060c7e5ce93fd3"
---

[Feed](https://hashnode.com/feed) /

Discussion

# [How to Perform Efficient Data Transformations Using PySpark](https://sharaththungathurthi.hashnode.dev/how-to-perform-efficient-data-transformations-using-pyspark?utm_source=hashnode&utm_medium=feed)

Here are some common interview questions and answers related to transformations in Spark: 1. What are narrow and wide transformations in Spark? Answer: Narrow transformations are transformations where each partition of the parent RDD is used to produ...

Oct 19, 2024 · 15 min read · sharaththungathurthi.hashnode.dev  
Read the article

-   [#pyspark-transformations](https://hashnode.com/tag/pyspark-transformations)
-   [#pyspark](https://hashnode.com/tag/pyspark)
-   [#big-data](https://hashnode.com/tag/big-data)
-   [#python](https://hashnode.com/tag/python)
-   [#spark](https://hashnode.com/tag/spark)
-   [#rdd](https://hashnode.com/tag/rdd)
-   [#rdd-resilient-distributed-dataset](https://hashnode.com/tag/rdd-resilient-distributed-dataset)

## Written by

[Sharath Kumar Thungathurthi](https://hashnode.com/@SharathThungathurthi)

@SharathThungathurthi

  
[View profile](https://hashnode.com/@SharathThungathurthi)

## Responses

Markdown supported · ⌘↵ to post

No responses yet.
