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Maximize Performance for Big Data

Big data analysis and collaboration require resilient and globally performant cloud storage, but traditional hyperscalers like AWS S3 can be costly and administratively burdensome. Fortunately, there's a better way.

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Storj COO John Gleeson and University of Edinburgh Research Explorer Prof. Antonin Portelli share big data use cases and show how Storj decentralized cloud storage offers resilience, security, and global performance at a cost savings of over 80% compared to AWS.

In this webinar, you'll learn how:

  • Distributed object storage provides globally consistent performance
  • University of Edinburgh explores advances scientific research
  • How to store and distribute large scientific data sets

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