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Monitor Apache Spark Clusters

Monitoring Apache Spark clusters is vital for efficient performance. This course will teach you how to effectively monitor and debug Apache Spark clusters using the Spark Web UI.

Harsh Karna - Pluralsight course - Monitor Apache Spark Clusters
by Harsh Karna
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What you'll learn

Monitoring Apache Spark clusters is essential for identifying bottlenecks, optimizing performance, and debugging distributed jobs.

In this course, Monitor Apache Spark Clusters, you’ll learn how to use the Spark Web UI to understand jobs, stages, and tasks in Spark.

You’ll explore monitoring PySpark and Spark SQL operations, observe shuffle and partitioning, track execution across multi-node clusters, learn to adjust node configurations using environment variables, and see the impact of these changes.

When you’re finished with this course, you’ll have a better understanding of how to monitor and debug Spark jobs, enabling you to optimize and troubleshoot your Spark applications effectively.

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About the author

Harsh Karna - Pluralsight course - Monitor Apache Spark Clusters
Harsh Karna

Harsh is a software engineer with 4+ years in Data Engineering, Data Science, and Gen AI, skilled in big data, cloud platforms, and data frameworks. He’s also passionate about travel.

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