Data Engineers: In a Complex Data Stack, Simplicity Matters

Learn more about Molecula’s technology, a simple cloud-agnostic, compute-ready data layer that is ready for high performance, high-concurrency, advanced analytics and AI, that will free you up to focus on the fun stuff (meta engineering, etc.) instead of building the same pipeline over and over and over.

Key takeaways

  • Why current technologies will break when you attempt to scale with the volumes of data being collected today
  • How a feature store can provide a single access point to compute-ready data for all teams and projects
  • How a feature store is able to significantly reduce your data footprint, while simultaneously maintaining real-time data and millisecond query speeds
  • How to avoid creating new ML silos, and instead have an end-to-end approach from data readiness to model training and deployment

Featured speakers

sarah-king-headshot

Sarah King
VP of Product

Sarah is Vice President of Product at Molecula, where she is determined to deliver the read more…

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