Merge pull request #225981 from normesta/gen2

Fixing outdated screenshots

Author: denrea

articles/storage/blobs/data-lake-storage-use-databricks-spark.md

@@ -7,7 +7,7 @@ author: normesta
 ms.subservice: data-lake-storage-gen2
 ms.service: storage
 ms.topic: tutorial
-ms.date: 11/19/2019
+ms.date: 02/01/2023
 ms.author: normesta
 ms.reviewer: dineshm
 ms.custom: devx-track-python, py-fresh-zinc
@@ -21,7 +21,6 @@ This tutorial shows you how to connect your Azure Databricks cluster to data sto
 In this tutorial, you will:
 
 > [!div class="checklist"]
-> - Create a Databricks cluster
 > - Ingest unstructured data into a storage account
 > - Run analytics on your data in Blob storage
 
@@ -41,58 +40,18 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 
   See [Tutorial: Connect to Azure Data Lake Storage Gen2](/azure/databricks/getting-started/connect-to-azure-storage) (Steps 1 through 3). After completing these steps, make sure to paste the tenant ID, app ID, and client secret values into a text file. You'll need those soon.
 
-### Download the flight data
+- An Azure Databricks workspace. See [Create an Azure Databricks workspace](/azure/databricks/getting-started/#--create-an-azure-databricks-workspace).
+
+- An Azure Databricks cluster. See [Create a cluster](/azure/databricks/getting-started/quick-start#step-1-create-a-cluster).
+
+## Download the flight data
 
 This tutorial uses flight data from the Bureau of Transportation Statistics to demonstrate how to perform an ETL operation. You must download this data to complete the tutorial.
 
 1. Download the [On_Time_Reporting_Carrier_On_Time_Performance_1987_present_2016_1.zip](https://github.com/Azure-Samples/AzureStorageSnippets/blob/master/blobs/tutorials/On_Time_Reporting_Carrier_On_Time_Performance_1987_present_2016_1.zip) file. This file contains the flight data.
 
 2. Unzip the contents of the zipped file and make a note of the file name and the path of the file. You need this information in a later step.
 
-## Create an Azure Databricks service
-
-In this section, you create an Azure Databricks service by using the Azure portal.
-
-1. In the Azure portal, select **Create a resource** > **Analytics** > **Azure Databricks**.
-
-    ![Databricks on Azure portal](./media/data-lake-storage-use-databricks-spark/azure-databricks-on-portal.png "Databricks on Azure portal")
-
-2. Under **Azure Databricks Service**, provide the following values to create a Databricks service:
-
-    |Property  |Description  |
-    |---------|---------|
-    |**Workspace name**     | Provide a name for your Databricks workspace.  |
-    |**Subscription**     | From the drop-down, select your Azure subscription.        |
-    |**Resource group**     | Specify whether you want to create a new resource group or use an existing one. A resource group is a container that holds related resources for an Azure solution. For more information, see [Azure Resource Group overview](../../azure-resource-manager/management/overview.md). |
-    |**Location**     | Select **West US 2**. For other available regions, see [Azure services available by region](https://azure.microsoft.com/regions/services/).       |
-    |**Pricing Tier**     |  Select **Standard**.     |
-
-    ![Create an Azure Databricks workspace](./media/data-lake-storage-use-databricks-spark/create-databricks-workspace.png "Create an Azure Databricks service")
-
-3. The account creation takes a few minutes. To monitor the operation status, view the progress bar at the top.
-
-4. Select **Pin to dashboard** and then select **Create**.
-
-## Create a Spark cluster in Azure Databricks
-
-1. In the Azure portal, go to the Databricks service that you created, and select **Launch Workspace**.
-
-2. You're redirected to the Azure Databricks portal. From the portal, select **Cluster**.
-
-    ![Databricks on Azure](./media/data-lake-storage-use-databricks-spark/databricks-on-azure.png "Databricks on Azure")
-
-3. In the **New cluster** page, provide the values to create a cluster.
-
-    ![Create Databricks Spark cluster on Azure](./media/data-lake-storage-use-databricks-spark/create-databricks-spark-cluster.png "Create Databricks Spark cluster on Azure")
-
-    Fill in values for the following fields, and accept the default values for the other fields:
-
-    - Enter a name for the cluster.
-
-    - Make sure you select the **Terminate after 120 minutes of inactivity** checkbox. Provide a duration (in minutes) to terminate the cluster, if the cluster is not being used.
-
-4. Select **Create cluster**. After the cluster is running, you can attach notebooks to the cluster and run Spark jobs.
-
 ## Ingest data
 
 ### Copy source data into the storage account
@@ -125,15 +84,20 @@ In this section, you'll create a container and a folder in your storage account.
 
 1. In the [Azure portal](https://portal.azure.com), go to the Azure Databricks service that you created, and select **Launch Workspace**.
 
-2. On the left, select **Workspace**. From the **Workspace** drop-down, select **Create** > **Notebook**.
+2. In the sidebar, select **Workspace**.
+
+3. In the Workspace folder, select **Create > Notebook**.
+
+   > [!div class="mx-imgBorder"]
+   > ![Screenshot of create notebook option.](./media/data-lake-storage-use-databricks-spark/create-notebook.png)
 
-    ![Create a notebook in Databricks](./media/data-lake-storage-use-databricks-spark/databricks-create-notebook.png "Create notebook in Databricks")
+4. In the **Create Notebook** dialog, enter a name and then select **Python** in the **Default Language** drop-down list. This selection determines the default language of the notebook.
 
-3. In the **Create Notebook** dialog box, enter a name for the notebook. Select **Python** as the language, and then select the Spark cluster that you created earlier.
+5. In the **Cluster** drop-down list, make sure that the cluster you created earlier is selected.
 
-4. Select **Create**.
+6. Click **Create**. The notebook opens with an empty cell at the top.
 
-5. Copy and paste the following code block into the first cell, but don't run this code yet.
+7. Copy and paste the following code block into the first cell, but don't run this code yet.
 
     ```python
     configs = {"fs.azure.account.auth.type": "OAuth",