![Efficient Data Processing with PySpark's Pivot and Stack Functions in Databricks | by Naveen Sorout | Towards Data Engineering | Medium Efficient Data Processing with PySpark's Pivot and Stack Functions in Databricks | by Naveen Sorout | Towards Data Engineering | Medium](https://miro.medium.com/v2/resize:fit:385/1*hwOpvh3SlRugbv758Ufp2A.png)
Efficient Data Processing with PySpark's Pivot and Stack Functions in Databricks | by Naveen Sorout | Towards Data Engineering | Medium
GitHub - KaveIO/PySparkPivot: PySparkPivot is a small python module for Spark, to manipulate PySpark Dataframes/RDD into spreadsheet-style pivot tables for data aggregation.
![Pivot in Spark DataFrame | Spark Interview Question | Scenario Based | Spark SQL | LearntoSpark - YouTube Pivot in Spark DataFrame | Spark Interview Question | Scenario Based | Spark SQL | LearntoSpark - YouTube](https://i.ytimg.com/vi/Ff054LiLrBk/maxresdefault.jpg)
Pivot in Spark DataFrame | Spark Interview Question | Scenario Based | Spark SQL | LearntoSpark - YouTube
![Efficient Data Processing with PySpark's Pivot and Stack Functions in Databricks | by Naveen Sorout | Towards Data Engineering | Medium Efficient Data Processing with PySpark's Pivot and Stack Functions in Databricks | by Naveen Sorout | Towards Data Engineering | Medium](https://miro.medium.com/v2/resize:fit:874/1*0nqclBvQOjwh_QTWN92Tww.png)