Data Fields are the most granular part of your catalog that describes the format and data type of our underlying data. Whether your Fields are represented as columns in a table, keys in JSON file, or Structs in a distributed Parquet data set you can capture their meaning and definition with Tree Schema Fields.

All Fields must reside within a Data Schema. If you are at this tutorial you should have already set up a schema and defined fields for the Schema; to revisit how Fields are added to Schemas, check out the Schema Definition page.