A Beginner’s Guide to Preprocess and Handle Data in PySpark | Azure DataBricks

➽ PySpark is a tool developed by the Apache Spark Community to facilitate Python with Spark.

➽ With the use of PySpark, one can integrate and work efficiently with Resilient Distributed Datasets (RDDs) in Python.

➽ Numerous features make PySpark an excellent framework as it facilitates working with massive datasets.

➽ PySpark provides libraries of a wide range, and Machine Learning and Real-Time Streaming Analytics are made easier with the help of PySpark.

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⚡ For information on Preprocess and Handle Data in PySpark, see https://k21academy.com/azurede35

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