Blog Archives

Are You Storing Data in the Cloud? Where do You Store Metadata?

Metadata is data about data. In the case of files, metadata includes information like the last access date and last modified date. An archive or backup solution may use metadata to track the location of the file, or it may

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Should You Use Image-Based Backups on Unstructured Data?

Most data protection applications are not backing up unstructured data correctly. The massive increase not only in the capacity of unstructured data but also in the number of files represented within the data set makes protecting it difficult. The large

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Understanding the Challenges That AI at Scale Creates

Artificial Intelligence (AI) is in its infancy and the requirements it places on the storage architectures that support these workloads are not widely understood. As a result, an organization starting an AI initiative can initially get away with using an

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How Does Your 2020 DR Plan Need to Change?

With each passing year, disaster recovery changes. Most of the time, those changes relate to faster and faster recoveries, as well as protection from net threats like ransomware. In 2020 the pressure to recover even faster remains critical, but there

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Disaster Recovery Workshop: Dealing with New Requirements, Expectations, and Threats

Disaster Recovery (DR) is changing, and DR plans need to change with it. Legislative bodies want companies to not only prove their ability to recover from a disaster, but they have specific guidelines as to how long that effort can

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Overcoming HCI Transition Problems

As they consider a potential transition to a hyperconverged architecture (HCI), organizations need to decide how to migrate data to the HCI platform. They also need to decide what to do with their legacy storage infrastructure that still will be

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Is Your Storage Architecture Ready for the Coming AI Wave?

Artificial Intelligence (AI) is a broad term that can apply to various computing tasks, including machine learning, deep learning, and big data analytics. Many AI projects are in a proof of concept stage, but CIOs and IT Managers need to

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Understanding the IO Needs of Edge Computing

Edge computing architectures typically consists of an array of IoT sensors that are collecting data in realtime which then send data to an edge data center for additional processing. Eventually, much of the collected data ends up in a public

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