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Describe PySpark.

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PySpark is a Python-based framework that uses Apache Spark, a quick and distributed computing engine, to process and analyze large amounts of data. It offers a user-friendly interface for interacting with huge datasets and supports parallel processing over a cluster of computers. Users can create complex analytics workflows and data processing pipelines in Python using PySpark, which can be executed on a distributed Spark cluster for scalable and effective data processing.

If you are interested in learning more about it, then don’t miss checking out the below video tutorial on PySpark -

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