The migration plugin is an experimental feature. Updates to the Cognite Toolkit are likely to introduce changes to the described commands and processes.
The following areas currently lack feature parity between data modeling-based and asset-centric Cognite Data Fusion (CDF) projects.
Security categories
Security categories add a second layer of access control on files and time series, in addition to data sets. There is currently no equivalent concept for granular access control in data modeling. CDF projects that depend on security categories should wait to migrate time series and files that require this protection.
Grafana dashboards
Grafana dashboards typically visualize a variety of data types from CDF. In data modeling, the Cognite Data Source for Grafana does not currently support searching for or selecting CogniteActivity nodes.
Extractors writing to multiple data sets for time series and files
A common integration pattern in asset-centric CDF projects is to configure extractors to write directly to time series or files, with many extractors limited to a single data set. For example, a PI extractor writes to the PI Data data set, and a transformation then moves individual time series to scoped data sets based on metadata.
In data modeling, this pattern is not directly available. Extractors writing to data modeling can only write to a single space, and the space is part of the identifier of a time series or file — it cannot be changed after creation. To replicate scoped isolation in data modeling, set up separate extractor instances per space.
Summary
Further reading