In this lecture, we're going to learn all about how to optimize your PySpark Application using Cache and Persist function where we discuss what is Cache(), Persist() function in Apache Spark and how to utilize them in your Apache Spark workloads to drastically improve the execution time. We will also discuss what are the scenarios where Cache and Persist are great choice and some of the scenarios where you should totally avoid them.
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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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