This page will guide you through the setup of Fivetran in K using the direct connect method
Scope | Included | Comments |
---|---|---|
Metadata | YES |
|
Lineage | YES |
|
Usage | NO | Usage currently not captured for Fivetran pipelines |
Sensitive Data Scanner | N/A |
Known limitations
Not all sources and destinations are included in the metadata extraction. Improvements are planned to provide wider coverage.
Step 1) Create an API Key
Log into your Fivetran account and go to Settings. Go to the API Config section to find the API Key and Secret
Copy the API Key and Secret for the next step
Step 2) Add Fivetran as a New Source
Select Platform Settings in the side bar
In the pop-out side panel, under Integrations click on Sources
Click Add Source and select Fivetran
Select Direct Connect and add your Fivetran details and click Next
Fill in the Source Settings and click Save & Next
Name: Give the Fivetran source a name in K
Host: Can be any unique value. For example add
fivetran.com/[fivetran account name]
Update the Host / Database mapping - see Host / Database Mapping for each project
Add your Key (client ID) and Secret (client Secret) copied from Step 1 and click Save
Test your connection and click Save
Click Finish Setup
Step 3) Schedule Fivetran source load
Select Platform Settings in the side bar
In the pop-out side panel, under Integrations click on Sources
Locate your new Fivetran source and click on the Schedule Settings (clock) icon to set the schedule
Note that scheduling a source can take up to 15 minutes to propagate the change.
Step 4) Manually run an ad hoc load to test Fivetran setup
Next to your new Source, click on the Run manual load icon
Confirm how your want the source to be loaded
After the source load is triggered, a pop up bar will appear taking you to the Monitor tab in the Batch Manager page. This is the usual page you visit to view the progress of source loads
A manual source load will also require a manual run of
DAILY
GATHER_METRICS_AND_STATS
To load all metrics and indexes with the manually loaded metadata. These can be found in the Batch Manager page
Troubleshooting failed loads
If the job failed at the extraction step
Check the error. Contact KADA Support if required.
Rerun the source job
If the job failed at the load step, the landing folder failed directory will contain the file with issues.
Find the bad record and fix the file
Rerun the source job