July updates from SYNQ
We’re excited to launch Scout Testing and Monitoring Advisor. It’s designed to help you build a best-in-class testing strategy using AI, no matter if you’re just getting started with testing or if you already have thousands of tests.
Watch our in-depth Scout webinar here:
You can also read the full announcement in our launch blog post.
What's new in SYNQ this month
Scout testing and monitoring advisor
You can use the testing and monitoring advisor in the SYNQ platform today. When you navigate to a table, Scout will give you a set of suggested monitors and tests. Instead of adding the most basic not_null and unique tests, we analyse each column, where it goes, where the data is coming from, and what the data product or use case is at the end of this.
You can also provide specific context about your business or data use case in a prompt, and the tests suggested will reflect that.
The agent is optimised for analytics engineering workflows and tests, and monitors can be directly deployed to dbt, SQLMesh, and SYNQ to work with the tools you already use.
Read more in our Scout documentation.
Scout configurations
You can customize how Scout behaves by configuring triage settings, providing context, and selecting the right data sources.
Scout can also be configured to run both in the cloud and on-premises to fit your security requirements. Read more in our Scout setup documentation.
Airflow integration improvements
You can now see Airflow task logs, including error snippets, directly in SYNQ. We’ve also improved lineage capture by supporting the native OpenLineage provider, and made setup easier whether you’re using MWAA, remote logging, or the REST API.
REST API endpoints
If you’re integrating SYNQ into your own tools or platforms, you can use our REST API endpoints. See our API documentation with full references for entities, monitors, and more.
From the blog
New stories on our blog
- Using AI in Data Engineering (3-part series) – Mikkel dives into how to apply AI across the modern data stack: Part 1 – Data modeling with AI. Part 2 – Add smarter tests without overloading your pipeline. Part 3 – Use AI on the semantic layer with Omni
- AI and Observability – Two new pieces from Petr on how AI agents are reshaping data workflows and what modern observability should look like. AI Agents in Data Engineering, Rethinking Observability
- The Data Observability Guide – A deep dive into defining, testing, and operationalizing data products. Read the guide
SYNQ Community–where to find us
Over the summer, we exhibited at Databricks’ Data + AI summit and shared insights with the dbt community in Belgium. We also co-hosted Data in the Cube with Omni in London
Find us here next:
- 🎙️ Podcast with dbt on testing better on Aug 4th. Join dbt in-house experts for a webinar with SYNQ on how to test smarter, not harder. Sign up here
- 🇬🇧 Data Engineers London - Data Quality & AI Ethics on Aug 5th. See Petr speak about how we’re building AI agents at SYNQ. Register here
- 🇫🇮 Helsinki dbt meetup on Aug 28th. Meet SYNQ founders and listen to Stijn, Aiven’s data engineering manager. Register here
- 🇺🇸 dbt Coalesce in Las Vegas, Oct 13 - 16. Swing by the SYNQ booth.
- 🇸🇪 Data 2030 in Stockholm on Oct 21st. Join Nordic data leaders and attend SYNQ’s roundtable on building high-quality data.
- 🇫🇷 Forward Data Conference in Paris on Nov 24th. Swing by the SYNQ booth.
Reach out if you want in!
Learn more
SYNQ is a data observability platform helping teams at companies such as IAG, Ebury, and Aiven build reliable data products.
Read more about how they’re using SYNQ, or sign up for a demo at synq.io/book-a-demo.
