Hi @PowerRanger,
This gets into the realm of Master Data Management, and the answer to this is "it depends". There is no absolute right or wrong approach and each will have its pros/cons. Below is not an exhaustive or complete list of considerations and options, but hopefully should help.
In general, an environment for master data that needs to be made available to multiple unrelated downstream environments can be a good design. It reduces impact of change compared to having a single shared environment for multiple business areas with different needs.
Before going further, I have to ask if there is a specific reason the Product Details can't just reside in the same environment as the Products? Is it truly unique to that one use case? If it's possible that it could be needed by other areas and doesn't change often, it may be fine to treat it as master data and keep it close to the products. If it does need to stay separate from the products, then read on.
Some considerations to help drive a decision on environment and data integration strategy:
- Volume of product data
- Rate of change in product data
- How is the data loaded into the hub? E.g. Delta load or full refresh?
- How many potential subscribers of the data (you mention currently only one but what about near future?)
- Do the subscribers just need read-only reference to the data (e.g. Act as a Lookup to related data). Or can data be changed in dependant environments and requires two-way sync?
- Data consistency - - how quickly do subscribers need to be notified of changes to data? E.g real time or non-real time? seconds/minutes/hours/days?
- Are there security requirements that prevent you from replicating data outside of the hub? What about security around who can view the data?
- Is remaining available Dataverse storage in your tenant, or additional costs for storage an issue?
- Reporting needs. It will be harder to report across several environments, particularly operational reporting. That said, Power BI with direct query connection to Dataverse has now made this possible.
Virtual entities are a decent option if:
- Subscribers only require read-only use of data
- No security concerns around all users of the subscribing environment having read-only access.
- Volume of source data is high and storage is a concern.
- Must see any data changes to the hub in real time.
- Have a Developer available
Note that the out of box virtual Odata provider does not have a mechanism for handling access tokens for authentication/authorization to another Dataverse environment. You will need to handle this yourself by either writing your own data provider, or using a service in between to handle the requests/responses.
Canvas App
- Good if you don't need plan to create Product Detail records in your model-driven apps, you won't be able to use the embedded Canvas app on creation of a new record, it will only show up when the record is saved and the field its tied to has a value.
Synchronizing the product data from your hub to any subscribers is a decent option if virtual entities don't satisfy for your need. There are quite a number of ways to achieve this:
Power Automate from end to end - event based trigger
- Good for low to medium volume or low to medium delta load
- Good for near real time
- Good for a single subscriber
Power Automate + Azure Event Grid + Azure Logic Apps
- Good for low to medium volume or low to medium delta load
- Good for near real time
- Good for multiple subscribers
Azure Data Factory
- Good for high volume or high delta load
- Good for Non-real time
- Can send to multiple destinations (subscribers) in a single data factory instance.
Note that if the sync is meant to be one way only, you'll want to take care and ensure a appropriate change management is in place and take appropriate measures in locking down product data in the subscriber environments. E.g enable so that only an administrator or the service principal used for data integration can create/modify records.
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