Great spending some time with data practitioners in Aarhus at the Vestas & SYNQ data breakfast ๐ฉ๐ฐ Ulrik Svanborg Mรธller and William Krill went over how they're building a data mesh across multiple platforms with dbt Labs and Mikkel Dengsรธe shared a blueprint.
๐ฏ How to define data products and their expectations
๐ Designing a testing strategy that will put you in the top 5% of data teams
๐ฅ Managing ownership, alerting, and incidents
๐ข Continuously improving through data quality metrics
https://t.co/l1MnjTjHBZ
Learn more about:
๐ฏ Anti-patterns to avoid when writing tests
๐ฏ Designing a testing strategy
๐ฏ Best practices when testing sources, transformations, and data products
๐๐ก๐๐๐ค ๐จ๐ฎ๐ญ ๐ญ๐ก๐ ๐๐ก๐๐ฉ๐ญ๐๐ซ ๐ก๐๐ซ๐: https://t.co/AdHSrz3bUS
We recently launched our integration with SQLMesh (if youโve missed it, read the announcement on SQLMeshโs website). From day one, weโve been big believers that a model-centric approach to data modeling is the way forward.
https://t.co/8bDZuPvgzn
Weโre starting the year with some exciting updates to help you better manage data quality and governance at scale.
๐ฅ Manage asset groups and teams with domains
โ๏ธ Deployment rules for managing monitors at scale
๐ SYNQ guide to building reliable data products out now!
New in SYNQ this week ๐
โ Recommended monitors for data products
โ Impact filters to quickly see the most important issues
โ Ability to add new issues to an existing incident
โ Redesigned navigation
Full update: https://t.co/zSKB01kjfZ