Great spending some time with data practitioners in Aarhus at the Vestas & SYNQ data breakfast 🇩🇰 Ulrik Svanborg Møller and William Krill went over how they're building a data mesh across multiple platforms with dbt Labs and Mikkel Dengsøe shared a blueprint.
🎯 How to define data products and their expectations
🔔 Designing a testing strategy that will put you in the top 5% of data teams
👥 Managing ownership, alerting, and incidents
🔢 Continuously improving through data quality metrics
https://t.co/l1MnjTjHBZ
Learn more about:
🎯 Anti-patterns to avoid when writing tests
🎯 Designing a testing strategy
🎯 Best practices when testing sources, transformations, and data products
𝐂𝐡𝐞𝐜𝐤 𝐨𝐮𝐭 𝐭𝐡𝐞 𝐜𝐡𝐚𝐩𝐭𝐞𝐫 𝐡𝐞𝐫𝐞: https://t.co/AdHSrz3bUS
We recently launched our integration with SQLMesh (if you’ve missed it, read the announcement on SQLMesh’s website). From day one, we’ve been big believers that a model-centric approach to data modeling is the way forward.
https://t.co/8bDZuPvgzn
We’re starting the year with some exciting updates to help you better manage data quality and governance at scale.
👥 Manage asset groups and teams with domains
⚙️ Deployment rules for managing monitors at scale
📘 SYNQ guide to building reliable data products out now!
New in SYNQ this week 🚀
→ Recommended monitors for data products
→ Impact filters to quickly see the most important issues
→ Ability to add new issues to an existing incident
→ Redesigned navigation
Full update: https://t.co/zSKB01kjfZ