IL - Performance Tuning with Azure Databricks

Course Overview

This course will teach students how to troubleshoot and optimize Spark applications running on Azure Databricks. Students will learn performance best practices including data partitioning, caching, join optimization and other related techniques.

Students will first cover core internals of Spark and the Azure Databricks platform, they will then work through various hands-on troubleshooting tasks designed to hone their troubleshooting skills within Azure Databricks.

Course Details
  • Duration: 3 Days
  • Level: 300

Who this course is designed for
  • Data Professionals

What You Will Learn

  • How to troubleshoot and optimize Spark applications running on Azure Databricks
  • Will learn performance best practices including data partitioning, caching, join optimization and other related techniques

Prerequisites:

  • Knowledge of Azure
  • Knowledge of Spark

Course Outline

This course will teach students how to troubleshoot and optimize Spark applications running on Azure Databricks. Students will learn performance best practices including data partitioning, caching, join optimization and other related techniques.

Students will first cover core internals of Spark and the Azure Databricks platform, they will then work through various hands-on troubleshooting tasks designed to hone their troubleshooting skills within Azure Databricks.

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Contact the experts at Opsgility to schedule this class at your location or to discuss a more comprehensive readiness solution for your organization. Contact us to enroll or book a class

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