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  2. Step 1: Sign up for a free trial. Step 2: Create and set up your first Databricks workspace. Step 3: Explore and use the Databricks platform. Next steps. Get help. Requirements. To use your Databricks account on AWS, you need an existing AWS account.

  3. Learn how to use the CREATE TABLE [USING] syntax of the SQL language in Databricks SQL and Databricks Runtime.

    • Overview
    • Create an Azure Databricks workspace
    • Before you begin
    • Use the portal to create an Azure Databricks workspace
    • Next steps
    • Get help

    If you’re new to Azure Databricks, you’ve found the place to start. This article walks you through the minimum steps required to create your account and get your first workspace up and running.

    For information about online training resources, see Get free Databricks training.

    Databricks recommends you deploy your first Azure Databricks workspace using the Azure portal. You can also deploy Azure Databricks with one of the following options:

    •Azure CLI

    •Powershell

    •ARM template

    •You must have an Azure subscription that isn’t a Free Trial Subscription. If you have a free account, complete the following steps:

    •Go to your profile and change your subscription to pay-as-you-go. See Azure free account.

    •Remove the spending limit.

    •Request a quota increase for vCPUs in your region.

    •Sign in to the Azure portal.

    •You must be an Azure Contributor or Owner, or the Microsoft.ManagedIdentity resource provider must be registered in your subscription. To register the Microsoft.ManagedIdentity resource provider, you must have a custom role with permissions to do the /register/action operation. For more information, see Azure resource providers.

    1.In the Azure portal, select Create a resource > Analytics > Azure Databricks.

    2.Under Azure Databricks Service, provide the values to create a Databricks workspace.

    Your next steps depend on whether you want to continue setting up your account organization and security or want to start building out data pipelines:

    •Connect your Databricks workspace to external data sources. See Connect to data sources.

    •Ingest your data into the workspace. See Ingest data into a Databricks lakehouse.

    •To onboard data to your workspace in Databricks SQL, see Load data using streaming tables in Databricks SQL.

    •To continuing building out your account organization and security, follow the steps in Get started with Azure Databricks administration.

    •Learn about managing access to data in your workspace. See What is Unity Catalog?.

    If you have any questions about setting up Azure Databricks and need live help, please e-mail onboarding-help@databricks.com.

    If your organization does not have a Azure Databricks support subscription, or if you are not an authorized contact for your company’s support subscription, you can get answers to many questions in Databricks Office Hours or from the Databricks Community.

  4. There are a few different methods you can use to create new workspaces: Create a workspace using the AWS Quick Start (Recommended) Manually create a workspace (new Databricks accounts)

  5. Aug 23, 2024 · Learn how to use the CREATE TABLE [USING] syntax of the SQL language in Databricks SQL and Databricks Runtime.

  6. Sep 6, 2024 · This article details how to create and run Azure Databricks Jobs using the Jobs UI. To learn about configuration options for jobs and how to edit your existing jobs, see Configure settings for Azure Databricks jobs. To learn how to manage and monitor job runs, see View and manage job runs.

  7. Learn how to use the CREATE DATABASE syntax of the SQL language in Databricks SQL and Databricks Runtime.

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