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Feed Camera Data Into Your Data Warehouse Like Any Other Signal

Jeremy Gulley | Rhombus Blog Author & Global Director, Ecosystem
by Jeremy Gulley, on August 12th, 2026
AI & Automation
Feed Camera Data Into Your Data Warehouse Like Any Other Signal

Rhombus + Claude Series — Tying Into the Enterprise

Your analytics team has dashboards for everything: website traffic, sales pipeline, infrastructure spend, employee engagement. Physical security, though, usually isn’t there — not because nobody cares, but because nobody can get the data out. Traditional camera systems don’t export to data warehouses. They barely export at all.

That means the richest source of operational signal in your organization — who’s in which building, when, doing what — sits outside every analysis your team runs. Your sales leaders don’t know how many customer visits the downtown office hosted last quarter. Your real estate team doesn’t know which floors are actually being used. Your sustainability team doesn’t know when buildings are empty.

Camera data is just data. It should sit in Snowflake next to everything else.

Rhombus outputs structured JSON from every endpoint. Any ETL pipeline can ingest it.

For the developers:

A nightly pull is one line:

rhombus alert recent --period "last 24 hours" --output json > today.json

Pipe that into your warehouse loader and camera data becomes just another table. Or ask Claude to write the ETL for you:

“Write a Python script that loads daily alert counts and camera uptime from rhombus-cli into our Snowflake security_metrics table.”

The payoff: Physical security data stops living in a silo and starts living in the same analytical environment as every other operational metric. Your BI team builds dashboards that mix occupancy and revenue. Your ops team correlates camera uptime with incident rates. The camera system becomes a data source like any other — not a dead-end application with its own reporting module nobody uses.