A data graph brings together structured data from your Data Model Objects (DMOs) in Data 360. It combines this data to create easy-to-use views of your information.
Because data in a data graph is preprepared, you can get the information you need in fewer steps. This means your data requests and queries show results almost instantly. Real-time data graphs are crucial for powerful features such as:
To build a data graph, choose the specific fields you want to combine from your existing DMOs. Data 360 then collects and changes these chosen fields into a single, read-only data graph record. This record puts all the combined data into one JSON blob.
You can see your data graphs in Salesforce Lightning Experience using Data Explorer and Query Editor. You can directly query your data graph using the Data 360 Metadata API and Query API. You can also use this combined data in other Salesforce applications and operations.
- Data Graph Data Structures
Understand the underlying components of a data graph so that you can create and use data graphs effectively. - Billing Considerations for Data Graphs
Use of data graphs impacts the consumption of credits in these usage types. A data graph creates a transform at the backend and hence reflects under the respective usage type in Digital Wallet. - Data Graph Statuses
Each data graph has two separate statuses: a status for metadata and a last run status for materialized data. These statuses work together to provide you with insight into the current configuration and refresh state of a data graph. Use them to monitor the data graph's lifecycle in Data Cloud, identify any issues, and determine if the data graph is ready for querying or further updates. - Build and Manage Data Graphs
Create and manage data graphs in Data 360. You can view a data graph using the Data 360 user interface or an API. - Advanced Configuration for Data Graphs
In Data 360, advanced configuration for data graphs allows you to customize the data graph beyond the default settings.