Cache vs Persist in PySpark | Spark Optimization Explained in Tamil

Описание: In this video, I have explained the difference between Cache and Persist in PySpark with clear real-time examples.

You will learn:

What is caching in PySpark?

What is persist in PySpark?

Different storage levels in persist (MEMORY_ONLY, MEMORY_AND_DISK, etc.)

When to use cache vs persist

Performance benefits with cache/persist in Spark

Demo with PySpark DataFrame

This video is part of the PySpark Optimization Playlist, designed to help Data Engineers improve query performance.
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