Azure Databricks Cluster Usage Management

Summary

Provision clusters and manage usage with best practices in Azure Databricks.

Description

In this course, you will first define computation resources (clusters, jobs, and pools) and determine which resources to use for different workloads. Then, you will learn cluster provisioning strategies for several use cases to maximize usability and cost effectiveness. You will also identify best practices for cluster governance, including cluster policies. This course also covers capacity limits, cost management, and chargeback analysis.

Learning objectives

  • Define computation resources (clusters, jobs, and pools) and determine which resources to use for different workloads.

  • Describe cluster provisioning strategies for several use cases to maximize usability and cost effectiveness.

  • Identify best practices for cluster governance, including cluster policies.

  • Describe capacity limits on Azure Databricks.

  • Describe how to manage costs and perform chargeback analysis.

Prerequisites

  • Beginning experience with the Databricks workspace UI

  • Beginning experience with Databricks administration

Learning path

  • This course is part of the platform administrator learning path.

Proof of completion

  • Upon 80% completion of this course, you will receive a proof of completion.