There's a kind of funny (and painful) paradigm that exists in the data world: more data, more problems. As companies grow their data, there's more broken dashboards to find, impacted users to chase, and cobbling data together that happens. But what if there was tooling to make the scaling process a little less painful, and a lot more scalable?
Join Marion Pavillet (Mux) and Kevin Hu (Metaplane) as they share stories around scaling data stacks at a large and small companies, demonstrate how they used modern tools to help improve data lineage and accuracy, and discuss the power of metadata in improving data products over time. Attendees can expect to leave this session with new concepts they can use to frame problems faced by rapidly growing companies, a blueprint for implementing DataOps, and solutions to which they can map their own situations.
