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Object storage is already well-known for helping to solve growth challenges for large-scale data in the enterprise and within cloud service providers. Over the last decade, traditional deployments of object storage have exploited its advantages in scalability, low-cost and data immutability. This has helped to solve the need to store 100s of Terabytes to Petabytes of data in a reliable and cost-effective way for long-term storage such as for archival requirements. Now, a new breed of big data analytics applications has now emerged that is embracing object storage for much more performance-intensive active data workloads. This dramatically expands the use-cases for object storage into domains where traditional Tier1 storage systems were employed. This session will explore popular applications in the world of analytics, AI and Machine Learning and how they have embraced the popular Amazon S3 API and object storage to help solve these new and emerging problems. Presented by Paul Speciale, Chief Product Officer, Scality.
Personnel: Paul Speciale
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