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Publishing Logical Data Models in CloudConnect
CloudConnect is a legacy tool and will be discontinued. We recommend that to prepare your data you use the GoodData data pipeline as described in Data Preparation and Distribution. For data modeling, see Data Modeling in GoodData to learn how to work with Logical Data Modeler.
After you have created a logical data model, publish it to a GoodData project that exists on the platform.
- When you publish a data model, the LDM Modeler checks if the model already exists in the destination project. If yes, the published data model is used to update the existing data model. Otherwise, the published data model is added to the project.
- You can choose to force publication of the logical data model into the project, which causes the cascading deletion of metrics and reports, which reference the removed attributes and facts. If those objects are removed and other objects reference them, then the secondary objects are also removed. This deletion cascades throughout the project. It does not affect dashboards. For more information, see Force Publishing an LDM in CloudConnect.
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