Nov 5, 2025 · Azure Databricks compute refers to the selection of computing resources available on Azure Databricks to run your data engineering, data science, and analytics workloads.

Dec 4, 2025 · When you configure compute using the Clusters API, set Spark properties in the spark_conf field in the create cluster API or Update cluster API. To enforce Spark configurations on …

Aug 29, 2025 · This article describes how to manage Azure Databricks compute, including displaying, editing, starting, terminating, deleting, controlling access, and monitoring performance and logs. You …

Dec 11, 2025 · A Databricks cluster is a set of computation resources and configurations on which you run data engineering, data science, and data analytics workloads, such as production ETL pipelines, …

Aug 4, 2025 · Dedicated group access mode allows users to get the operational efficiency of a standard access mode cluster while also securely supporting languages and workloads that are not supported …

Nov 12, 2025 · Databricks recommends allowing the platform to manage all layout and optimization operations for data in your table. After enabling liquid clustering, run OPTIMIZE jobs to incrementally …

Aug 29, 2025 · To train machine learning models, Databricks recommends creating a compute resource using the Personal compute policy. You should use a single node compute with a large node type for …

Dec 17, 2025 · Cluster policy permissions Manage which users can use cluster policies. Pipeline permissions Manage which users can view, manage, run, cancel, or own a pipeline.

Dec 11, 2025 · Azure Databricks provides a secure networking environment by default, but if your organization has additional needs, you can configure network connectivity features between the …

Feb 11, 2025 · Learn how to create an Azure Databricks pool in the UI, including the available configuration options for new pools.