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  • Tips and Best Practices for Organizing your Databricks Workspace
    Databricks workspace offers a wide range of tools and services for Data Engineering, Data Science, and Machine Learning tasks Organize your workspace by creating folders and notebooks for different projects, using naming conventions and tags, setting up access control, keeping your Workspace clean, and using templates, you can create a Workspace that is easy to navigate and supports your data
  • Manage users, service principals, and groups - Azure Databricks
    Workspace admins can add users and service principals to the Azure Databricks account If their workspaces are enabled for identity federation, they can also add groups to the account Workspace admins can grant users, service principals, and groups access to their workspaces, but cannot delete users or service principals from the account
  • Deploy a workspace with an ARM template - Azure Databricks
    This article explains how to create an Azure Databricks workspace using an ARM template An ARM template is a JavaScript Object Notation (JSON) file that defines the infrastructure and configuration for your project The template uses declarative syntax, which lets you state what you intend to deploy without having to write the sequence of programming commands to create it
  • Databricks - Sign in
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  • Try Databricks for Free | Databricks
    Free trial of Databricks for data engineering and ML AI workloads See why the most innovative businesses run Databricks Try Databricks for 14 days Databricks on AWS, Azure, GCP, and SAP Consulting System Integrators Experts to build, deploy and migrate to Databricks
  • Manage workspace-local groups (legacy) - Azure Databricks
    As a workspace admin, log in to the Azure Databricks workspace Click your username in the top bar of the Azure Databricks workspace and select Settings Click the Groups tab and select the workspace-local group that you want to convert to an account group Under Name, add (workspace) to the end of the group's name Click Save
  • Deploy a workspace using Terraform - Azure Databricks
    The following sample configuration uses the azurerm Terraform provider to deploy an Azure Databricks workspace It assumes you have signed in to Azure (az login) on your local machine with an Azure user that has Contributor rights to your subscription For more information about the azurerm Terraform plugin for Databricks, see azurerm_databricks_workspace
  • Share models across workspaces - Azure Databricks
    In multi-workspace situations, you can access models across Azure Databricks workspaces by using a remote model registry For example, data scientists could access the production model registry with read-only access to compare their in-development models against the current production models An example multi-workspace set-up is shown below
  • Configure notebook result storage location - Azure Databricks
    Larger results are stored in the workspace storage account in your Azure subscription Azure Databricks automatically creates the workspace storage account Azure Databricks uses this storage area for workspace system data and your workspace's DBFS root Notebook results are stored in workspace system data storage, which is not accessible by users
  • Enable firewall support for your workspace storage account - Azure . . .
    Each Azure Databricks workspace has an associated Azure storage account in a managed resource group known as the workspace storage account The workspace storage account includes workspace system data (job output, system settings, and logs), DBFS root, and in some cases a Unity Catalog workspace catalog
  • Unable to access Azure Databricks Account as an admin
    Problem You need to access the Databricks account console, but there are no active Azure Databricks account admins in your organization This can happen wh Actions such as changing the metastore owner, managing the account subscriptions, creation and management of workspaces, etc can only be done by account admins
  • Cloud infrastructure (Azure) - Databricks
    These articles can help you manage the configuration for your Databricks workspaces Databricks Help Center Main Navigation Help Center; Documentation; Knowledge Base; Community; Assign a single public IP for VNet-injected workspaces using Azure Firewall Learn how to assign a single public IP address for a Databricks workspace in a
  • Managing Azure Databricks with Terraform | by Ridwanibraheem - Medium
    Managing cloud infrastructure efficiently is crucial in today’s data-driven world Azure Databricks, optimized for Microsoft Azure, offers powerful capabilities for big data and AI workloads
  • Programmatically interact with workspace files - Azure Databricks . . .
    You can programmatically manipulate workspace files in Azure Databricks, similar to how you work with files in any standard file system Note In Databricks Runtime 16 2 and above, and serverless environment 2 and above, all programmatic interactions with files is also available for notebooks





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