The default freshness and volume monitors have been merged into the Table stats monitor. You can see more on the Table stats monitor page.

In most cases, we recommend combining freshness monitors with default Volume monitor to detect when data is flowing but at a reduced rate. Read more about best practices for deploying these at Setting up monitors
Setting up a freshness monitor
- Navigate to
Health
→Manage monitors
- Click
Create monitor group
to define the tables you want to monitor - Use the SYNQ browser to narrow down the tables you want to monitor

- Browser—select specific schemas or search for tables to monitor (SYNQ automatically maps your data warehouse tables and dbt models)
- Annotation—select assets with metadata definitions such as tag defined in a yml file from dbt
- Important—select assets that you’ve marked as important
- Query—advanced selection. E.g., search for specific keyword matches
To deploy freshness monitors on all dbt sources automatically, filter by
Type: Source
- Check
Freshness
to set up a freshness monitor group

- Name the monitor (e.g., freshness on all sources).

- Click
continue
to set up the monitor
As soon as you’ve set the monitor up, it will start learning the behaviors of your data every hour. You should expect ~10 days before the monitor has built an understanding of the seasonality and patterns in your data and is confidently able to predict anomalies