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Lab: Managing Spark Jobs in Azure Databricks

In this lab, you will provision how to provision a Databricks workspace, an Azure storage account, and a Spark cluster. You will then execute and manage a Spark Job.

  • Estimated time required to complete: 1 hours, 0 minutes
  • You will have access to this environment for 2 hours, 0 minutes
  • Learning Credits Required: 10
Who this lab is designed for
  • Data Professionals
  • Data Architects
  • Data Engineers
  • Data Scientists

Learning Objectives

  • Understand creation of an Azure Databricks Workspace and cluster using the Azure Portal
  • Learn how to view and manage Spark jobs in Azure Databricks


Exercise 1: Environment Setup

SkillMeUp Real Time Labs use a virtual machine for all lab exercises. This allows you access to all of the tools and software needed to complete the lab without requiring you to install anything on your local computer.

The virtual machine may take several minutes to fully provision due to software installation and supporting files to copy.

After you have completed all of the lab exercises ensure you click the End Lab button to get access to your certification of completion.

Launch a browser from the virtual machine and navigate to the URL below. Your Azure Credentials are available by clicking the Cloud Icon at the top of the Lab Player.

Exercise 2: Deploying the Databricks Environment
In this exercise, you will provision provision a Databricks workspace, an Azure storage account, and a Spark cluster.
Exercise 3: Create and Manage a Spark Job in Azure Databricks
In this exercise, you will learn to create and manage spark jobs in Azure Databricks.

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