What Is Pyspark? | Introduction to Pyspark | Why Use Pyspark? | Pyspark For Beginners | Simplilearn

This video on "What is PySpark" will give you a brief understanding of PySpark, its key features, Usecases of Pyspark in the industry, and many more. In order to Understand Pyspark and its use in the big data world, we must first understand Apache Spark. Therefore, this tutorial also covers Apache Spark overview.

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Below topics are explained in this PySpark Tutorial

00:00 Introduction
00:48 Agenda
01:24 Apache Spark
01:56 What is PySpark ?
02:49 Key features of PySpark
04:17 RDD
04:51 Why PySpark is needed?
06:31 The difference between Scala & PySpark
09:43 Pyspark Dataframe
10:42 Use cases in the industries

What is PySpark?
PySpark is a Python API to support Python with Apache Spark, Python can easily be connected with Apache Spark using the PySpark-provided Py4j library.
When it comes to analyzing or working with large datasets, PySpark is essential. PySpark is a mostly searched tool among data engineers because of its functionality.
PySpark is a powerful framework when working with large datasets because it has so many features. So let's discuss the key features of Pyspark.

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[pratibharajpoot]

This was the most simplest and understandable tutorial for pyspqrk.