Mixpanel connector for Zoho DataPrep [BETA]
Zoho DataPrep allows you to seamlessly bring in your product and user analytics data from Mixpanel. With this connector, you can streamline your ETL workflows, enable smooth data movement, and simplify data integration between Mixpanel and Zoho DataPrep.
To import data from Mixpanel
1. Open an existing pipeline or create a pipeline from the Home Page, Pipelines tab, or Workspaces tab and click the Add data option.
Info: You can also click the Import data 2. Choose the Marketing category from the left pane and click MixPanel. You can also search for MixPanel in the search box.
Note: If you have already added a connection earlier, click the required connection and proceed to import. You can also find your saved connections under the Saved connections category from the left pane. To learn more about Saved connections, click here.3. Select an account from the saved connections or connect a new account using Add new option.
To authenticate the Mixpanel account
4. Provide a unique Connection name, Service Account UserName, and Service Account Secret of your Mixpanel account in the respective fields.
To get the Service Account UserName and Service Account Secret
a. Log in to Mixpanel. Go to Settings → Organization Settings.
b. Click Service Accounts → Add Service Account.
d. Fill in the details and click Create.
e. Copy the Service Account UserName and the Secret.
5. After authenticating, select the required Project and specify the date from when you want to start importing data. Then choose the required Modules, and the corresponding Fields will be displayed. Select the Modules and Fields you wish to import.
You cannot import all past data or import data from a specific time of day.
Here's the list of total modules supported,
- Users
- Custom Events
6. Once you have completed importing data, Pipeline builder page opens, and you can start applying transforms to your ETL pipeline. 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.
Note: When you import a module from your Mixpanel account, each dataset will be created as a stage in DataPrep as above.
7. Once you are done creating your data flow and applying necessary transforms in your stages, you can right-click a stage and add a destination to complete your data flow.
Note: After adding a destination to the ETL pipeline, you can try executing your pipeline using a manual run at first. Once you make sure the manual run works, you can then set up schedule to automate the pipeline and data movement. Learn about the different types of runs here.Schedule
You can schedule your ETL pipeline using the Schedule option.
Schedule configuration
1. Select the Schedule option in the pipeline builder.
2. Select a Repeat method (hourly, daily, weekly, monthly) and set frequency using Perform every dropdown. The options of the Perform every dropdown change with the Repeat method. Click here to know more.
3. Select the GMT at which you want to import new data found in the source. By default, your local time zone will be selected.
4. Pause schedule after: This option allows you to choose to pause the schedule after n number of failures.
Info: The range can be between 2-100. The default value is 2.Import configuration
You can configure how to import and fetch data from your Mixpanel account using the Import configuration option.
Note: The import configuration needs to be mandatorily set up for all the sources in the pipeline. Without setting up the import configuration, the schedule cannot be saved.
5. Select the Click here link to set the import configuration.
6. Select the required option from the How to import data from source? drop down. You can choose to import from data, modified and new data, or do not import based on the module you imported.
Import from data
If you want to import data, select the date from when the data needs to be imported in the From field. This option will import all available data from the selected date.
Note: You cannot import all past data or import data from a specific time of day.
Incremental data fetch
Only modified and new data
To import the modified and new data incrementally from the last imported time, select Only modified and new data option
from the drop-down.
Use existing data if new data is not available:
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, in turn, will cause the entire pipeline job to fail.
Do not import data
The data is imported only once. The second time, the rules are applied to the same data and get exported.
7. Click Save to schedule the import for your data.
Note: If you have already configured a schedule from Mixpanel, data will be reloaded based on your earlier configuration under the Import configuration section when you click on the Edit schedule option and set a new schedule.Schedule settings
Stop export if data has invalid values: Enabling this will stop the export when prepared data still has invalid values.
Order exports
You can use this option when you have configured multiple destinations and would like to determine in what order the data has to be exported to the destinations.
If not enabled, export will run in the default order.
If not enabled, export will run in the default order.
Note: This option will be visible only if you have added more than one destination in your pipeline.
To rearrange the order of your export destinations
1) Click the Order exports toggle.
2) You can drag and drop to change the order of the destinations and then click Save.
Note: Click the Edit order link if you want to rearrange the order again.
8. After you configure the schedule, click Save to execute the schedule. This will start the ETL pipeline.
Each scheduled run is saved as a job. When a pipeline is scheduled, the data will be fetched from your data sources, prepared using the series of transforms you have applied in each of the stages, and then data will be exported to your destination through seamless data integration at regular intervals. This complete process is captured in the job history.
9. To go to the jobs list of a particular pipeline, go to the 
ellipses icon in the pipeline builder, and click on the Job history menu to check the job status of your pipeline.
10. Click the required job ID in the Jobs history page to navigate to the Job summary of a particular job.
The Job summary shows the history of a job executed in a pipeline flow. Click here to know more.
10. Click the required job ID in the Jobs history page to navigate to the Job summary of a particular job.
The Job summary shows the history of a job executed in a pipeline flow. Click here to know more.
11. When the schedule is completed, the data prepared in your pipeline will be exported to the configured destinations.
Info: You can also view the status of your schedules later on the Jobs page.
Note: If you make any further changes to the pipeline, the changes are saved as a draft version. Choose the Draft option and mark your pipeline as ready for the changes to reflect in the schedule.After you set your schedule, you can choose to Pause schedule or Resume schedule, Edit schedule, and Remove schedule using the Schedule Active option in the pipeline builder.
When you edit and save a schedule, the next job will be from the last schedule run time to the next scheduled data interval.
Important: Adding Mixpanel as a destination and pushing data to Mixpanel from DataPrep is not supported yet.
Limitations
- You can import data only for a specified date interval. You cannot import all past data or import data from a specific time of day.
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