When to use PySpark?

Question

Can anyone tell me when to use PySpark?

Answer 1

PySpark is majorly used for processing structured and semi-structured datasets, for designing and building Spark applications in Python. It also provides an optimized API that can read the data of different file formats ingested from the various data source. It helps you to scale your Spark applications across various servers and mainly to parallelize your application. PySpark is majorly useful if you are working with a large amount of data

If you are looking for an online course to learn PySpark, check out this PySpark Course by Intellipaat.

Also, check out this video for more information: