Zoho DataPrep supports exporting data to Google Drive, a file storage and synchronization service developed by Google. Google Drive allows users to store files in the cloud, synchronize files across devices, and share files.

To export data to Google Drive

1. Open an existing pipeline or create a pipeline from the Home Page, Pipelines tab or Workspaces tab. You can bring your data from 50+sources.

2. On the Pipeline Builder page, once you have completed creating your data flow and applying the necessary transforms in your stages, you can right-click a stage and select the Add Destination option.

Note: If you had already added a Google Drive connection earlier, you can simply select the existing connection under the Saved connections section and proceed with exporting. To learn more about Saved data connections, click here.

4. If your data has columns with personal data, you can choose to include or exclude some or all of them in the PII columns section.

You can also apply the necessary security methods below to protect your personal data column:

A. Data masking  

Data masking hides original data with 'x' to protect personal information.

B. Data Tokenization 

Data tokenization replaces each distinct value in your data with a random value. Hence the output is statistically identical to the original data.

C. None

You can select None if you do not want to use any security method.

5. Click Next and if you have added a connection already, click the existing connection and start exporting data.

Note: Click the Add new link to add a new Google Drive account. You can create as many Google Drive connections as required.

6. Click the Authenticate Google Drive button to authenticate your account with your credentials. You will need to authenticate Google Drive when you try connecting to Google Drive for the first time.

Note: The connection configuration will be saved for exporting to the Google Drive in the future. Credentials are securely encrypted and stored.

7. You can choose to export the dataset in any of these supported file formats:
CSV, TSV, JSON, XLS, XLSX, and XML formats.

8. You can also click the Advanced options link for the following options.

• You can encode the file using character encoding methods like UTF-8 using the File encoding option.

• You can use a Row Separator such as UNIX (Line Feed) or MAC (Carriage Return) to ensure the line endings are translated properly.

• You can distinguish the point at which the content of a text field begins and ends using Text qualifiers such as Single Quote(') or Double Quote(").

• You can separate out the data or split using a Delimiter such as a Comma(,) , Semicolon(;) , or a Space.

• Use the Compress file option to save your export as a .zip file.

• You can also encrypt the file and protect it using a password before export.
     

9. Navigate to the folder you want to place the file in and click Export.

Note: You can also export files to your shared folders in Google Drive.

Info: Each run is saved as a job. When a pipeline run is executed, the data fetched from your data sources will be prepared using the series of transforms you have applied in each of the stages, and then data will be exported to your destination. This complete process is captured in the Jobs page.

SEE ALSO

How to import data from Google Drive into Zoho DataPrep?
What other cloud storage options are available in Zoho DataPrep?

What other export options are available?

Learn about scheduling export.
How to export data to cloud database?