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  • 131 2

    How to access Google Cloud Storage Bucket from AI Platform job

      August 19, 2021 12:11 PM IST
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  • 67 3
    Get required information from your cloud project. Console Command Line. Open the IAM page in the Google Cloud Console. Open the IAM Page and then configure access to your Cloud Storage bucket. Console Command Line. Open the Storage page in the Cloud Console.
      August 21, 2021 12:54 AM IST
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  • 346 3

    Cloud computing today allows hardware and software products to co-exist remotely (in data centers) and at-scale. Together these products work to deliver specific services. Users typically can access, manage, and use the tools they require via a web-interface – and that’s true for Google Cloud Platform services as well.

    In addition to service accessibility, users also gain flexibility and choice when working with Google Cloud Platform: Each service is available ‘a la carte’ so that users can leverage different resources to develop the infrastructure they need.

    Once they have identified the Google Cloud Platform services that would benefit them, users simply create a “project” via the intuitive, web-based GCP Console. Better still, project owners can manage which team members or admins have access to which services.

      August 21, 2021 11:54 AM IST
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  • 461
    Using a Cloud Storage bucket from a different project
    1. Step 1: Get required information from your cloud project. Console Command Line. Open the IAM page in the Google Cloud Console. Open the IAM 
    2. Step 2: Configure access to your Cloud Storage bucket. Console Command Line. Open the Storage page in the Cloud Console.
      December 9, 2021 12:57 PM IST
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  • 317

    A GCS data source can connect to a single text file, in CSV format, or to a folder stored in your Google Cloud Storage bucket. If you connect to a folder, Data Studio will try to connect to all the CSV files it finds to populate the data source.

    When connecting to a folder, be sure that all the text files in that folder share the same structure (schema). Trying to connect a data source to files with different structures will cause an error.

    To connect

    1. Sign in to Data Studio.
    2. In the top left, click Create then select Data Source.
    3. Select the Google Cloud Storage connector from the list
    4. If prompted, AUTHORIZE access to your data.
    5. Enter the path to your data:
      1. Include the bucket name and any parent folders
      2. To select a single file, enter the file name
      3. To select multiple files, enter the final folder name and select Use all files in path option
    6. In the upper right, click CONNECT.
      1. The data source fields panel appears.
      2. The data source is now connected to your data set.

    Configure the data source

    The data source fields panel is where you configure the data source by renaming fields and adding descriptions, adding calculated fields, and changing data types and aggregations. Learn more about working with data source fields.

    Control who sees the data

    At the top of the fields panel, you can change the data credentials. Credentials control who can see the data provided by this data source.

    OWNER'S CREDENTIALS lets other people view or create reports that use this data without requiring them to have their own access to the data set.

    VIEWER'S CREDENTIALS, on the other hand, requires each user of the data source to provide their own credentials to access the data set.

      December 10, 2021 10:55 AM IST
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