Skip to content
Notis

Get a monthly view of asset usage

Make planning decisions from a concise, recurring report.

Trigger

Recurring schedule

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

Action

Query

Query tool will run a sql query in bigquery. note: make sure the query being input in a single line format. for example, select * from sample dataset.sample table where column name = 'value'

Why this helps

Asset usage patterns are hard to see across a month.

  • Better reuse decisions
  • Less manual reporting

Setup

Build it in a few focused steps.

  • 1Connect Uploadcare and Google BigQuery to Notis once.
  • 2Create the automation in the portal or ask Notis directly.
  • 3Describe the monthly Uploadcare usage query you want BigQuery to run.
  • 4Pick a monthly schedule and report channel.
  • 5Test the report using current data.

Questions about this workflow

Can the report be tailored?

Yes. State the metrics you want in the plain-language prompt.

When this happens · Trigger

Do this · Action

Supported Triggers and Actions

Notis builds workflows that link Uploadcare to Google BigQuery. A trigger fires from one place; an action lands in another.

Uploadcare triggers

Google BigQuery actions

Recurring trigger

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

TriggerScheduled

Query

Query tool will run a sql query in bigquery. note: make sure the query being input in a single line format. for example, select * from sample dataset.sample table where column name = 'value'

ActionInstant

Webhook trigger

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

TriggerInstant

Connect any two apps with Notis in the middle.

Uploadcare and Google BigQuery, or any other combination from 1,000+ integrations.

When this happens · Trigger

Do this · Action

Save your first hour today.

7-day trial of any paid plan, with 20$ of usage included.
No card. Works with personal or business Google BigQuery.