We plan to use Neo to build a knowledge graph out of configuration data that exists in multiple siloed applications. We've demonstrated that we can import data from each of the systems and automatically create relationships between entities from different applications using common references. The source systems' data will change very slowly, but will change, so we need to keep the graph up to date.
If we want to update the graph every day what is the best way to do that? We don't have access to the incremental changes made in the various source systems to apply individually, so we'd essentially need to rebuild the whole graph. Is the best approach to rebuild the graph offline and then swap it with the previous version? Is there a way to minimize downtime?
