Note: Click the Add new link to add a new Google Drive account. You can create as many Google Drive connections as required.
4. Authenticate your Google account. You will need to authorize DataPrep to access your files when you do this for the first time.
5. Select the files you want to import and click the Import button. You can also select files from the Shared with me tab. You can also use the Advanced selection option to import files that match a specific pattern. Click here to know more.
6. If it is an HTML, XLS, or XLSX file, you can click the Preview option to view a sample of the data.
7. If the file is password protected, enter the password, and click the right arrow.
9. Once you have completed importing data, Pipeline builder page opens and you can start applying transforms. You can also right-click the stage and choose the Prepare data option and prepare your data in the DataPrep Studio page. Click here to know more about the transforms.
1. Click the Advanced selection link.
Advanced selection helps you perform dynamic file selection based on regex. This can be used for getting new or incremental data from your Google Drive folder. The newly added or modified file that matches the file pattern after the previous sync will be taken from your Google Drive folder.
2. Provide the following details :
Choose folder : Choose the folder you want to import data from.
Include subfolders : You can also select the Include subfolders checkbox if you want to include subfolders while searching for a file. Click here to know the limitations of this option.
Note: The file pattern match is a simple regex type match. For example, to fetch files with file names such as Sales_2022.csv , Sales_2023.csv , Sales_2024.csv , you can input the pattern Sales_.*
Similarly to fetch files such as PublicData1.csv , PublicData2.csv , PublicData3.csv , use Public.*
If you want to import a single file, then specify the pattern using the exact file name.
Eg: leads_jan_2022.*
Parse file as : Choose the required extension to parse the file. If your file format is not a commonly used one, you can use this option to parse the file into one of the following formats before importing the data into a readable format. The available formats are CSV, TSV, JSON, XML, and TXT.
3. Click the Import button.
Note: We support only CSV, TSV, JSON, XML, and TXT file formats for incremental fetch from cloud storage.
1. Using the Include subfolder option, you can only fetch files from a single sub-folder or all the sub-folders of the entire My drive or Shared with me folders. You cannot fetch files from all the sub-folders within a specific folder.
2. To fetch files from a single subfolder: Enter the exact path of the subfolder in the folder path. For example, 2023/jan/ . Fill in the required details. The files that match mentioned file pattern will be fetched from the specified folder.
SEE ALSO
How to import data from cloud databases?
How to import data from saved data connections?
What are the other cloud storage options available in Zoho DataPrep?
How to export data to Google Drive?
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