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How to deploy Data Kits with Gearset

If you're using Calculated Insights, Data Lake Objects or Search Index you will need to add these to a Data Kit before deploying them.

Claudia McPhail avatar
Written by Claudia McPhail
Updated today

Introduction

The vast majority of Data Cloud metadata can be deployed directly through Gearset, as the user can select the specific components and dependencies they wish to deploy or commit to a target branch. These do not need to be added to a Data Kit to be deployable.

In the case of Calculated Insights, Data Lake Objects and Search Indexes these three components do have to be added to a Data Kit pre-deployment. The user can select the Data Kit and components in the Gearset comparison and deploy them to the target org or branch.

Create your Data Kit

  • Create a DevOps Data Kit in the source org, and add the selected data stream into it.

Deploy the Data Kit

  • Deploy the created data kit and all relevant components to target org by starting a comparison in Gearset including DataPackageKitDefinitions and other relevant types (Data Source Object, Data kit object template, data source, data stream definition, data stream template etc.)

Activate the Data Kit

  • Go to target org, and deploy the new DevOps Data kit.

Feedback

We're actively working on expanding our Data Cloud support and want to hear how we can best achieve that. Please don't hesitate to reach out to the Data Cloud team over the in-app chat.

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