You can manually refresh your stage with the latest data by reloading data from your data source. You can use the manual reload option to fetch data that was failed during a schedule. This is part of your ETL workflow for data movement, ensuring fresh records are fetched as needed for accurate data integration downstream.

1. Create a pipeline or open an existing pipeline from the Home Page, Pipelines tab, or Workspaces tab, and click the Add data option. You can also click the Import data option under the Workspaces tab to import data.

Info: You can also click the Import data icon at the top of the pipeline builder and bring data from multiple sources into the pipeline.
2. In the next screen, choose the required data source. You can also choose one of the below categories from the left pane.
Files
Databases
Cloud storage
Cloud databases
Zoho Apps
Saved connections
3. Once all files are successfully imported, it will take you to the Pipeline builder page where you can start applying transforms. You can also right-click the stage and choose the Prepare data option to prepare your data in the DataPrep Studio page. These transforms are part of the ETL “transform” phase, helping with data cleaning and shaping for effective data integration. Click here to know about transforms.
4. To reload data manually, click the ellipses icon from the Pipeline builder page, and choose the Reload data option. This reload triggers data movement that ensures the latest source data flows into your ETL pipeline.

Select range
From - Using this option, you can import data that matches the given pattern from the specified date and time.
Between - Using this option, you can import data that matches the given pattern between two time intervals.

Note: The data will be imported based on the import configuration. This helps maintain consistent data integration across runs.

This option will import all data from the source file. This can be used if you do an import without the advanced selection method.
This option will import all available data that matches the file pattern.

You can configure how to import and fetch incremental data from your cloud storage using this option. Incremental data import is a method used to import new or modified records after the previous sync. This strategy helps efficient data movement and supports reliable data integration.
Use the previously imported file if no new data is available:
During incremental import,
- If the checkbox is checked: When there is no new data in the source, the last fetched data will be imported again.
- If the checkbox is unchecked: When there is no new data in the source, the import will fail and no files will be imported. This will, in turn, cause the entire pipeline job to fail.
Which file to import? You can choose to import All files, Newest file, or Oldest file using this option.
This option will import all the files that match the given file pattern only in the specific data interval based on the Fetch based on field.
Note: GoogleDrive, OneDrive, SharePoint, Box has modifiedTime and createdTime.
Info: File batch size cannot be greater than 10. This option is available only for advanced selection in cloud storage, FTP, and local file system.This option will import the latest file that matches the given file pattern in the specific data interval based on the Fetch based on field.
This option will import the oldest file that matches the given file pattern in the specific data interval based on the Fetch based on field.
The data is imported only once. The second time, the rules get applied to the same data and get exported.
6. After configuring the import configuration and data interval, click Reload data. The data reload will be triggered successfully.
7. Once the data reloads, you can apply the required transforms and add destination and export your data by doing a manual run.
Important: Please make sure you do a manual run and export the reloaded data to avoid data loss if there is an ongoing schedule. You can also download the data from the Output tab in the Job summary page as a job will be created each time you perform a manual reload on the ETL pipeline.| How to import data from source |
| Import source file |
| Do not import data |
| How to import data from source |
| Import all data |
| Incremental file fetch All files Newest file Oldest file |
| Do not import data |
| How to import data from source |
| Import source file Note: You can upload a new source file that you would like to import using the Upload File option. You can use the Parse file as option to parse unknown file formats. |
| Do not import data |
| Import source file |
| Do not import data |
| Import all data |
| Do not import data |
| Import source file |
| Do not import data |
| How to import data from source? |
| Import all data |
| Incremental file fetch All files Newest file Oldest file |
| Do not import data |
| Import all data |
| Only modified and new data |
| Do not import data |
| Import all data |
| Incremental file fetch All files Newest file Oldest file |
| Do not import data |
| Data source | How to import data from source? | Data interval applicable or not |
| Import all data | ||
| Only modified and new data | ||
| Do not import data | ||
| Only modified and new data | ||
| Do not import data | ||
| Import all data | ||
| Only modified and new data | ||
| Only new data | ||
| Do not import data | ||
| Import all data | ||
| Only modified and new data | ||
| Do not import data | ||
| Import all data | ||
| Only modified and new data | ||
| Only new data | ||
| Do not import data | ||
| Only new data | ||
| Do not import data | ||
| Import all data | ||
| Only modified and new data | ||
| Import all data | ||
| Only modified and new data | ||
| Only new data | ||
| Do not import data | ||
| Import all data | ||
| Do not import data | ||
| Only new data | ||
| Only modified and new data | ||
| Do not import data |

Learn how to use the best tools for sales force automation and better customer engagement from Zoho's implementation specialists.
If you'd like a personalized walk-through of our data preparation tool, please request a demo and we'll be happy to show you how to get the best out of Zoho DataPrep.
You are currently viewing the help pages of Qntrl’s earlier version. Click here to view our latest version—Qntrl 3.0's help articles.