Skip to content
Notis

Review your Uploadcare library every quarter

Get a higher-level view before the library becomes unwieldy.

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

Library hygiene has no natural place in a busy quarter.

  • More intentional upkeep
  • Better planning visibility

Setup

Build it in a few focused steps.

  • 1Connect Uploadcare and Google BigQuery to Notis once.
  • 2Create the automation in the portal or through Notis chat.
  • 3Describe a quarterly BigQuery review of library health metrics.
  • 4Choose a quarterly schedule and run-report channel.
  • 5Test the query with current data.

Questions about this workflow

Can I focus on one asset type?

Yes. Specify the asset type in your instruction.

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.