Optimizing PySpark by setting up Spark Configuration Properties | PySpark Tutorial

In this lecture, we're going to learn all about how to optimize your PySpark Application by setting up Apache Spark Configuration Properties and ways to implement it in your Spark Application. We are also going to discuss about some default parameters which you can pass to speed up your Spark workloads.

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Audience

This tutorial has been prepared for professionals/students aspiring to learn deep knowledge of Big Data Analytics using Apache Spark and become a Spark Developer and Data Engineer roles. In addition, it would be useful for Analytics Professionals and ETL developers as well.

Prerequisites

Before proceeding with this full course, it is good to have prior exposure to Python programming, database concepts, and any of the Linux operating system flavors.

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[yashwantdhole]

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