Udemy – Overcoming Common Performance Issues in Apache Spark 2024-6

Description

Overcoming Common Performance Issues in Apache Spark course. Spark is a powerful tool for processing large amounts of data in parallel. But the complexity of its structure brings many functional problems. Experience has shown that it is very difficult to find online training resources that fully cover the inner workings of Spark and how to fix these problems. For this reason, I have designed this course. This course is not an operational course and its prerequisite is mastery of programming with Spark. In this course, we’ll explore solutions to performance issues you’ll encounter while developing Spark projects. We’ll cover all the necessary theory and give you practical steps to solve performance problems.

What you will learn:

• The three main causes of performance problems in Spark: In this section, we will take a closer look at reasons such as shuffle, skew, and spill that reduce the performance of Spark.
• Fixing problems caused by shuffle: You will get to know different techniques and methods to improve the performance of shuffle operations in Spark.
• Fixing problems caused by skew: You will learn strategies to reduce the impact of unbalanced data (skew) on Spark performance.
• Fixing Spill Issues: You will learn how to manage and mitigate spill operations (writing data to disk) in Spark.

This course is suitable for people who:

• Spark developers looking to improve the performance of their scripts.

Details of the Overcoming Common Performance Issues in Apache Spark course

• Publisher:  Udemy
• Lecturer: Kieran Keene
• Training level: beginner to advanced
• Training duration: 40 minutes
• Number of courses:

Course topics in 2023/4

Overcoming Common Performance Issues in Apache Spark course prerequisites

• Apache Spark Programming

Course images

Sample video of the course

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227 MB