Data governance analytics
To help larger data teams understand the quality of their data, we have built a new analytics section that clarifies what types of controls (tests or monitors) are running in your data stack and where issues and incidents are coming from. Combined with Synq filters that allow slicing of this data by teams, products, datasets, or owners, this gives the ultimate view into data quality across the data stack.
Read more about how Lunar used analytics to deliver data quality KPIs to the C-level in a scaling fintech.
API to create external tests
Data assets can break for all sorts of reasons. Some originate in the data stack itself, and some happen outside. For these use cases, we’ve developed a new API that can be used to create custom assets and tests. We’ve already used this in-house to create custom assets for our microservices, with Datadog alerts that monitor the delay of Pub/Sub queues in GCP. All this is linked to the lineage of our entire stack, which lets us use Synq incident management in our operational systems and infrastructure. It’s a step forward on our path toward end-to-end data reliability. Docs and examples are available here.
UI facelift
As we continue to add new capabilities to Synq, we also took some time to refactor our key UI components and layouts to make them feel lightweight and easier to navigate. Given that our UI presents a lot of information, this is part of our commitment to keeping the platform simple to use.
What else we’ve shipped
🆕 Ability to set specific segments NOT to be included for predictions in custom monitors
🆕 Ability to set fixed thresholds for custom monitor and be alerted when values exceed this threshold
🧹 The alert list now displays muted items
🧹 We removed platform summary filters and replaced them with integrations browser navigation
🧹 Integrations navigation now takes you to the selected integration overview page