Adaptive released a new way to retrieve data from data warehouses, such as Snowflake, Incorta and Microsoft Fabric (and more to come): it is called Cloud Data Connect.
What is Cloud Data Connect?
Cloud Data Connect is a tool that helps move data from your company's data warehouses into Workday Adaptive Planning standard or cube sheets (sheets without splits). It’s great pathway for large businesses that already have strict rules for managing data.
How does it work?
To use Cloud Data Connect, you set up something called a pipeline:
Global Navigation Menu (aka the Hamburger menu ☰) > Integration > Setup Pipeline
Here’s how the high level process works:
1) Choose where the data will go: it will ask you to give a name to your pipeline (for example: "Snowflake bookings", pick a version and a sheet.
2) Get a template: download a pre-made file (template) that you share with your data storage admin.
The template tells them how to organize or display the data so Adaptive Planning can consume it.
3) Setup a connection: most likely you will connect with OAUTH 2, or, username / password.
4) Review settings: double-check all the connection settings to make sure everything is set up correctly.
What happens next?
The great thing about pipelines... is that each pipeline works like a "Adaptive integration package": it basically acts as 1) a data source, 2) a loader and 3) a task! However, you can still decide whether you want to use this "bundle" or manage the steps separately.
1) Data source = where data comes from (your warehouse).
2) Loader = where data goes into adaptive.
3) Task = when your data updates.
What you can do once the pipeline is setup
Once your pipeline is ready, here are the main actions you can take:
- Check the connection status: ensure the connection between Adaptive Planning and your storage system is indeed working.
- Edit Draft Pipelines: adjust any pipelines you’re still setting up and are not connected yet.
- Run the Pipeline: start the process to move data into Adaptive Planning.
Why use Cloud Data Connect?
It saves time by automating how external data is loaded into Adaptive Planning. First of all, it combines the 3 integration items explained above (source, loader, task).
Maybe you were manually exporting and importing this data? Now, instead, the pipeline does the job for you.
Lastly... it is MUCH simpler to setup than a custom cloud data source (which requires javascripting), or setting up an old-school JDBC connection. It is literally a matter of a couple of seconds versus hours of setup!
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