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What is PySpark?

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PySpark is an API of Python that is developed by Apache Spark. It is used to integrate and work with Resilient Distributed Dataset (RDD) in Python programming language. You can use it to perform computations and tasks on large sets of data and analyze them. Some of the key features of this API include:

  • Disk persistence and caching: This framework provides good disk persistence along with powerful caching
  • Polyglot: It is compatible with numerous languages including Scala, Python, Java, and R allowing it to be a preferred framework to process large datasets
  • Real-time computations: It shows low latency due to the in-memory processing in its framework
  • High-speed processing: Compared to traditional frameworks, it is much faster in terms of processing Big Data

To learn in-depth about this Python API, you must sign up for an online PySpark Course.

You should also check out this PySpark video tutorial:

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