Solving the largest problems for big data on cloud storage today.

Companies and governments all wish they were further along in their migration to the cloud. This session will examine four areas preventing big data from migration to the cloud. High-performance applications cannot migrate to the cloud due to slow cloud storage performance. Cloud storage is highly resilient; however, cloud storage is not highly available. Migrating massive amounts of data to the cloud is costly when managed storage is ~$.30/GB. Transferring and transforming edge data to be AI/ML compatible can be time-consuming and requires a solution rather than manual intervention from data scientists. This session will provide answers to these four key areas that prevent or slow down cloud adoption of big data.

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