This reference describes the types, paths, and any request payload or query parameters, for each supported Databricks REST API operation. Many reference pages also provide request and response payload examples.

Apr 18, 2025 · Databricks recommends managing user state via your identity provider, however there may be certain scenarios where this is not possible. To manually activate or deactivate a user you can use the Update user details (AWS | Azure | GCP) account API endpoint.

To access a Databricks resource with the Databricks CLI or REST APIs, clients must authorize using a Databricks account. This account must have permissions to access the resource, which can be configured by your Databricks administrator or a user account with adminstrator privileges.

Learn how to manage account-level Azure Databricks configurations, including user management, workspace creation, and diagnostic logging, and learn when to use the Azure Databricks account console or the Azure portal to manage your account.

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Unity Catalog (UC) is the foundation for all governance and management of data objects in Databricks Data Intelligence Platform. Since its launch several years ago Unity Catalog has become the best way to experience Azure Databricks. This article will present an overview of exactly what happens when a workspace catalog is automatically provisioned for a new Azure Databricks workspace.

Feb 14, 2025 · The Databricks REST API includes management tools specifically for managing AI/BI dashboards. This article demonstrates how to create a new AI/BI dashboard from an existing legacy dashboard. Then, it shows how to use API tools to manage the dashboard.

Jul 18, 2023 · These articles can help you administer your Databricks workspace, including user and group management, access control, and workspace storage. SSO configuration should use the vanity URL as the base target URL.... ... Learn how to discover who deleted an Azure Databricks cluster.... Learn how to discover who deleted an Azure Databricks workspace....

To create and manage Databricks workspaces in the Azure Resource Manager, use the APIs in this section. To interact with resources in the workspace, such as clusters, jobs, and notebooks inside your Databricks workspace, use this Databricks REST API.

The Databricks API is an essential tool for developers and data engineers looking to streamline their workflows within their Databricks environment. This powerful service allows users to efficiently manage crucial components of their Databricks account, including clusters, notebooks, jobs, and workspaces.