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Category: Big Data

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Unveiling the Future of Memory and Storage: Insights FMS2023

Despite the economic downturn that hit the memory providers hard this year, the 2023 edition of the show attracted more than 3,000 energetic participants. And I do mean participants. Many of the people at this event are the innovators who are engineering the future of memory, storage, and related technologies enabling the AI era.

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SC22 Provides Glimpse into Tomorrow’s Data Center

This week I had the privilege of attending SC22, the supercomputing conference, in Dallas, TX. Supercomputing centers are early adopters of technologies that will soon be common in most data centers. Thus, the sessions I attended, the attendees I spoke with, and the solutions on display in the exhibit hall provided me with an eye-opening glimpse into tomorrow’s data center.

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2022-23 DCIG TOP 5 Storage for Life Sciences Solutions Report Now Available

DCIG is pleased to announce the immediate availability of the 2022-23 DCIG TOP 5 Storage for Life Sciences Solutions report. DCIG evaluated fifteen providers offering storage solutions across six different categories.  This report provides guidance on the TOP 5 rising vendors providing storage solutions organizations should consider for the unique storage solutions life science organizations require. 

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Smaller Shops Have Enterprise Big Data Drivers Too

Everyone tends to think of Big Data as only being a challenge in Big Organizations. No more. Small and midsize organizations face their own set of big data challenges. Even mobile, remote, and branch offices of large organizations face big data challenges like these smaller, autonomous organizations. To avoid being caught unprepared, there are three specific areas these smaller shops should flag as areas for data growth.

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Enterprise Requirements for Petabyte-scale File Data Management On-premises and in the Cloud

Enterprises of all sizes are using unstructured file data in new and varied ways to drive innovation and create value. Whether they are optimizing retail operations through AI-enabled video analytics or improving healthcare through an in-depth analysis of high-resolution microscopy images, they are capturing file data from more sources and in a greater variety of file sizes than in the past. In turn, they must store multiple petabytes of data to support these new workloads. They need petabyte-scale file data management.

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