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

  • 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
  • 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.

Training Options


Dedicated Delivery

This course can be delivered dedicated to your team either virtually or onsite. A dedicated delivery allows deeper discussion with your team and our instructor on projects and workloads that are specific to your environment.

Customized Delivery

This course can be customized by adding or removing topics, going deeper on specific topics, or by customizing the delivery schedule to make it easier for your team to attend the training.

Contact a Cloud Training Specialist

Back to the Schedule

Course Schedule