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- Click the "+" button and choose "Import Job" or right-click in the file browser and select "Create New" → "Import Job". The 'New Import Job' tab appears in the menu bar.
- Click "Select Connection". The dialog 'Select Connection' opens.
- Click on the connection for Google Cloud Storage and confirm with "Select". The connection is displayed.
- Select the required file type from the drop-down 'File Type' and confirm with "Next".
- Click "Browse" to select the folder/ file from the Google Cloud Storage. The 'Remote Data Browser' opens.
- Select the required folder/ file and confirm with "Select". The data name is displayed in the 'File or Folder' field.
TIP: You can scroll the results or filter for them.
- Define the delimiter character the schema and the column names.
INFO: The default value for delimiter is ','.
- If needed, choose a filter from the drop-down to allow the usage of a time range for applying time patterns in the file name path.
- If needed, set file filter to exclude specific files in dependency to their age.
- If needed, modify advanced settings, e.g. the character encoding and confirm with "Next". The tab 'Data Fields' opens.
- Mark all required columns.
- If needed, view the raw records.
- If needed, enter placeholder values and confirm with "Apply".
- Decide how to handle invalid data.
- Decide whether you want partition data.
- Confirm with "Next". The tab 'Schedule' opens.
- Decide whether the import is triggered manually or on a schedule.
- Select the way data is replaced or appended and confirm with "Next". The tab 'Save' opens.
- If needed, enter an import job description.
- Mark the checkbox when the import shall start immediately after the saving.
- If needed, enter the email address for several notifications and confirm with "Next". The 'Save Import Job' dialog opens.
- Select the path the data shall be imported, enter a name and confirm with "Save". Data Import from Google Cloud Storage is finished.
