Accelerating Discovery in Supercomputing Environments by Centralizing Multi-Cloud Data Management
DescriptionAs supercomputing infrastructures become increasingly distributed, centralizing the management of data that may span multiple data centers, public cloud providers, and edge locations is key to accelerating research. Whether organizations are looking to expand information sharing for science teams; enhance data management practices across collaborative platforms; or unlock access to cloud services for data practitioners, centralizing multi-cloud data management addresses these challenges by seamlessly integrating multiple public clouds and on-premises storage under a single namespace. Modern technologies improve the responsiveness of data workflows by supporting constant movement of data and applications across systems and automating data placement and lifecycle rules. This means that both on-premises and cloud applications can use the same data without negatively impacting performance. It also means that the right data is placed where and when it’s needed for the most effective, agile workflows. Finally, by synchronizing data across multiple cloud-based repositories, multi-cloud data management software enables data to be accessed independent of its physical location to eliminate vendor lock-in and minimize cloud egress fees.
Join us for this technical deep dive into how centralizing multi-cloud data management can maximize the value of cloud initiatives by creating new opportunities for collaboration and innovation across platforms and data-driven ecosystems.
Join us for this technical deep dive into how centralizing multi-cloud data management can maximize the value of cloud initiatives by creating new opportunities for collaboration and innovation across platforms and data-driven ecosystems.
Event Type
Exhibitor Forum
TimeThursday, 17 November 20222:30pm - 3pm CST
LocationD171
Recorded
TP
XO/EX