Skip to content

Data Objects

The Data Objects screen is where you define the core building blocks of your data solution. A data object typically represents a table, view, or query in your target database.

  • Add new data objects to your project, specifying a name and the connection where the object lives.
  • Edit existing objects — update names, descriptions, and other properties.
  • Delete objects you no longer need.
  • Browse all objects in your project using the list view.

Each data object contains Data Items — the columns or fields that make up its structure. For each Data Item, you can set:

  • Name — The column name.
  • Data type — The SQL data type (e.g., INT, NVARCHAR(100), DATE).
  • Nullability — Whether the column allows null values.
  • Ordinal position — The column’s order in the table.
  • Default value — An optional default for the column.

Business keys identify which columns uniquely define a record in your data object. This is essential for patterns like Data Vault, where business keys drive how data is loaded and linked.

Relationships link data objects to each other, similar to foreign keys. They help ADL understand how your data objects connect, which is useful for templates that generate join logic or relationship documentation.

Tag your data objects and individual data items with classifications like PII, Sensitive, or any custom labels your project uses. These classifications can be referenced by templates to generate appropriate handling logic.

Template mappings tell ADL which templates should be used to generate output for each data object. You can assign one or more templates to any data object.

Extensions are custom key-value pairs that let you attach any additional metadata to your data objects. Templates can reference extensions to customize their output — for example, storing a schema name or a deployment flag.

  • Start with connections first — Before creating data objects, make sure you’ve set up your Data Connections so you have somewhere to assign each object.
  • Use the Metadata Importer — If you have an existing database, you can import its structure directly instead of creating objects by hand.
  • Check the Graph view — The Graph screen gives you a visual map of your data objects and their relationships.