# Naming Standards & Validation Rules

Data Catalog Objects represent technical metadata assets used for data discovery, governance, lineage, and analytics. These objects include Databases, Tables, Table Columns, Files, File Columns, Reports, Report Columns, APIs, API Attributes, and Codes.

### Validation Rules

| Property              | Value                                                                       |
| --------------------- | --------------------------------------------------------------------------- |
| Blank Allowed         | Yes (null allowed)                                                          |
| Maximum Length        | Not explicitly specified                                                    |
| Allowed Characters    | Alphabets, Numbers, Spaces, and any characters except disallowed characters |
| Disallowed Characters | Comma (,) and configured concatenation delimiter                            |
| Pattern Validation    | No strict regex validation enforced                                         |
| Null Value Behavior   | Validation is skipped when the value is null                                |

#### Examples

**Valid Examples**

* Customer Database
* Sales Table 2024
* Employee Report
* API Response Data
* File Column Name
* PII Code

**Invalid Examples**

* Data,Object → Contains comma
* Table|Column → Contains configured delimiter
* Code,Value → Contains comma

#### System Behavior on Validation Failure

* The system prevents saving the object when validation fails.
* Validation error messages are displayed.
* Correct the object name before proceeding.
* If the value is null, validation is skipped.

#### Best Practices

* Use meaningful and descriptive object names.
* Maintain consistent naming conventions across objects.
* Avoid commas and configured delimiters.
* Follow organizational metadata naming standards.
* Use standardized names for better search and governance visibility.

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