Data Catalog
The Data Catalog provides a centralized catalog of all data assets (tables) across your connected sources. You can browse sources, search for specific tables, inspect column-level details, and understand data sensitivity and classification.
Every table in the catalog is classified as one of the Layer 1 entity types — event, user, group, ad data, or custom (unclassified).
You can find the Data Catalog under the Data → Data Catalog group in the Data menu — Events, Customers, Properties, and the other catalog pages live there.
Overview
As data flows into Vendo from your connected sources, the Data Catalog automatically catalogs every table and its columns. This gives your team a single place to understand what data is available, how it is structured, and how it should be handled.
Key capabilities:
- Source listing with asset counts per source
- Full-text search across all tables and columns
- Asset detail pages with metadata, tier classification, and descriptions
- Property inspector for column-level data types, sensitivity levels, and identifiers
Browsing Sources
The main Data Catalog page lists all connected sources with the number of data assets (tables) available from each. Click on a source to see its full list of tables.
Each source entry shows:
- Source name and icon
- Total number of assets
- Connection status
Searching Assets
Use the search bar at the top of the Data Catalog to find specific tables across all sources. The search matches against:
- Table name
- Display name
- Description text
Results update as you type, showing matching assets grouped by source.
Asset Details and Tiers
Clicking on an asset opens its detail page, which includes:
| Field | Description |
|---|---|
| Name | The technical table name as it appears in BigQuery |
| Display name | A human-readable name for the table |
| Description | A description of what data the table contains |
| Type | The asset type (e.g., table, view) |
| Category | The logical category the asset belongs to |
| Tier | Data classification tier (see below) |
| Status | Whether the asset is active, deprecated, or hidden |
Data Tiers
Every asset is assigned a tier that indicates its importance and reliability:
| Tier | Label | Color | Description |
|---|---|---|---|
| Tier 1 | Critical | Red | Core business data. High reliability requirements. Used in production dashboards and reports. |
| Tier 2 | Important | Blue | Significant data assets used regularly. Important but not mission-critical. |
| Tier 3 | Exploratory | Gray | Supplementary or experimental data. May change structure or be deprecated. |
Tiers help teams prioritize data quality efforts and set expectations about stability and reliability.
Property Inspector
The Property Inspector shows column-level detail for each asset. Click on any asset to expand its list of properties (columns).
Each property includes:
| Field | Description |
|---|---|
| Column name | The technical column name |
| Display name | A human-readable name |
| Description | What the column represents |
| Data type | One of: string, number, boolean, datetime, array, object |
| Format | Additional format detail (e.g., email, uri, date-time) |
| Required | Whether the column is guaranteed to be present and non-null |
| Sensitivity level | Data classification for privacy and compliance (see below) |
| Is identifier | Whether the column serves as a unique or join identifier |
Sensitivity Levels
Each column can be tagged with a sensitivity level to support data governance and compliance:
| Level | Description |
|---|---|
| Public | Non-sensitive data that can be freely shared (e.g., product names, campaign IDs) |
| Internal | Data intended for internal use only (e.g., internal notes, cost data) |
| PII | Personally identifiable information (e.g., email addresses, phone numbers, names) |
| Sensitive | Highly sensitive data requiring strict access controls (e.g., payment details, credentials) |
Sensitivity levels are informational and help your team understand data handling requirements. They do not enforce access restrictions automatically.