Assets

Tables, views, and other data objects that AnomalyArmor monitors

An asset is any data object that AnomalyArmor discovers and monitors. When you connect a database, we catalog all tables, views, and their columns.

Asset Hierarchy

Assets are organized in a hierarchy that mirrors your database structure:

For example: snowflake.analytics.orders represents the orders table in the analytics schema of your Snowflake connection.

What We Track

Each asset stores:

Property	Description	Use For
Schema	Column names, types, constraints	Drift detection
Freshness	Last update timestamp	SLA monitoring
Metrics	Row counts, null percentages	Data quality
Tags	Auto and custom classifications	Organization
History	All changes over time	Debugging

Asset Lifecycle

Assets move through states as you use AnomalyArmor:

1. Discovered: Found during discovery, no monitoring configured
2. Monitored: Has freshness SLAs, metrics, or alert rules attached
3. Archived: Table no longer exists in database (kept for history)

Finding Assets

In the UI

Assets page shows your full catalog. Use filters:

• Data Source: Filter by database connection
• Schema: Filter by namespace
• Tags: Filter by classification (e.g., pii:email)
• Status: Filter by freshness state

Via API

from anomalyarmor import Client

client = Client()
assets = client.assets.list(schema="analytics", limit=100)

Via Intelligence

Ask in plain English: “Where is customer data?” or “Show me tables updated today.”

Asset Details

Click any asset to see:

• Overview: Basic info, tags, description
• Schema: Current columns with types
• History: All schema changes over time
• Freshness: Update timeline and SLA status
• Metrics: Configured data quality checks

Next Steps

Set Up Discovery

Configure how AnomalyArmor finds your assets

Connect a Data Source

Add your first database to start discovering assets