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Most teams jump to distributed analytics too early and end up with unnecessary complexity. This talk shows how MongoDB’s scalable operational core paired with modern single-node engines like DuckDB can deliver fast and simple analytics without defaulting to a cluster. I’ll share work I’m doing to bridge these systems and discuss how far a simplicity-first approach can take you before distribution becomes the right choice.
Stephanie Wang is a Staff Software Engineer at MongoDB, where she leads engineering for the Atlas data federation and storage systems team. Previously, she was a Founding Engineer at MotherDuck and helped build its cloud-native data warehouse from the ground up. Before that, she worked at Google on BigQuery and developer tooling. Earlier in her career, she held engineering roles at Morgan Stanley and IBM. She has a strong track record in scalable data infrastructure and has spoken at industry conferences including QCon and JavaLand.
