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.

𝗦𝗼𝘂𝗻𝗱𝘀 𝗴𝗼𝗼𝗱? 🤔

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

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About the Author Atul Kumar

Oracle ACE, Author, Speaker and Founder of K21 Technologies & K21 Academy : Specialising in Design, Implement, and Trainings.

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