Episode 9: Why treating data quality as a yes/no thing is holding you back

Mike opens this episode with the DAMA framework’s six dimensions, before getting into data reliability engineering and what Google’s approach to uptime can teach us about managing dodgy data. Error budgets, runbooks, on-call rotations – all that good stuff, applied to data instead of servers. 

Then he covers data observability (knowing your platform is healthy right now, not just when something last loaded) and finishes up with data contracts – and who’s actually on the hook when a column change nukes a dashboard.

It’s an episode for anyone who’s ever thought: “Hang on a minute, shouldn’t we be doing something about our data quality?”

You can also head to our blog for more insight on the impact of poor data quality.