Dears
Has anyone successfully used at scale the lakehouse monitoring & expectations features together to measure data quality of data tables - example, to conduct freshness checks, consistency checks etc.
Appreciate if you could share the lessons learnt, best practices. I would have a need to execute several consistency checks against several tables, and have those red/green lights be updated against them ((as shown during the annual conference 🙂 ).
