It is defined directly in data and you can view those relationships in Dataedo right after schema import. And this is where Dataedo shows its value – you end up with additional information about data (metadata) that cannot be easily obtained by people working with data.ĭiscovering Embedded Documents RelationshipsĮmbedded documents are specific to semi-structured data – ability to embed another record (document), or array of rows, into another record. References are logical, and as such, cannot be derived from data and needs to be documented manually in Dataedo.Embedded documents are nested in the data and can be discovered and visualized automatically. MongoDB, or any document store, has in general two categories of relationships – embedded documents and references. Let’s have an overview of relationships in this kind of databases. However, we can stretch the concept to fit JSON documents. MongoDB is not a relational database, it is a document store, so traditional ER modeling does not apply. It is a bit more complicated (as always) with the relationships. Dataedo discovered entities and their fields. To create an ER diagram, you need entities (collections) and relationships. When it finishes it creates complete data dictionary for your MongoDB database – list of collections and their attributes organized into hierarchy (documents, fields, arrays, etc.).ĭiscovering and Documenting Relationships
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