Google Cloud Storage
In the Big Data Tools window, click and select Google Cloud Storage.
In the Big Data Tools dialog that opens, specify the connection parameters:
Name: the name of the connection to distinguish it between the other connections.
Choose the way to get buckets:
Select Custom roots and, in the Roots field, specify the name of the bucket or the path to a directory in the bucket. You can specify multiple names or paths by separating them with a comma.
Select All buckets in the account. You can then use the bucket filter to show only buckets with particular names.
In the Authentication list, select an authentication method:
GCloud Account: this will open your browser where you can sign in to your Google account. Once authenticated, select the Project ID.
Credential File: enter a path to the credential JSON file.
Anonymous: select if you want to sign in anonymously, for example, to public buckets.
Optionally, you can set up:
Enable connection: deselect if you want to restrict using this connection. By default, the newly created connections are enabled.
Proxy: select if you want to use IDE proxy settings or if you want to specify custom proxy settings.
Extended Connection Settings | Custom host: enter your custom endpoint URL, for example, if you want to use it to mock a Google Cloud Storage server.
Once you fill in the settings, click Test connection to ensure that all configuration parameters are correct. Then click OK.
Once you have established a connection, you can view the storage and work with data files in it.