Blog Archives

Silos of Clusters – Is this the End Result of Data Center Modernization?

Applications like Elastic, Hadoop, Kafka and TensorFlow typically operate on scale-out architectures built from dozens, if not hundreds of servers, which act as nodes in the application’s cluster. Many organizations now use a mix of these applications to derive the

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New eBook: Hyperscale Performance, Is NVMe Enough?

Hyperscale architectures that support Elastic, Hadoop, and Kafka, often vary wildly between organizations and even within each organization. Each workload often needs its own cluster and IT teams are constantly trying new technology within those clusters, trying to improve performance.

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For All-Flash Performance, Hardware vs. Media

In recent years the industry has seen the evolution of flash media from Serial Attached SCSI (SAS) and Serial Advanced Technology Attachment (SATA) based interconnects to Peripheral Component Interconnect Express (PCIe) based interconnects. And now, PCIe interconnect is standardized around

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Top Four Data Analytics Challenges – Challenge 2: Technical Expertise

The new era of data analytics has opened up a new opportunity for storage professionals to become strategic partners and advisers to line of business stakeholders. The problem is that completing analytics queries is taking far too long – frequently

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Meet The CEO: MemVerge’s Charles Fan

Workloads like artificial intelligence (AI), machine learning (ML), big data analytics, the Internet of Things (IoT) and data warehousing need storage memory-levels of performance. Charles Fan, CEO of MemVerge, has a vision for making this possible without disrupting the application

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Posted in Webinar

SlideShare: Flash Storage – Deciding Between High Performance and EXTREME Performance

All-Flash arrays are no longer a one size fits all. There is a clear line of demarcation between standard all-flash and extreme flash, but most suppliers try to squeeze all of an organization’s problems into a single system architecture because

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Posted in Slideshare