Big data, defined as a massive volume of structured and unstructured data that is difficult to process via traditional technology, holds a wealth of possibility; but, standard, traditional parallel relational database technology has not proven to be cost-effective or provide the high-performance… [...]
Read MoreBefore we delve into issues pertaining to Machine Learning (ML) and storage optimization, it’s crucial for the reader to understand what ML is and how it works. A subset of Artificial Intelligence (AI), ML is a technique centered around training algorithms to… [...]
Read MoreA parallel file system enables systems simultaneous, coordinated access to data across multiple storage servers over a high-performance network such as OmniPath or Infiniband. High-performance computing (HPC) parallel applications require parallel file systems to take advantage of multiple IO paths and distributed… [...]
Read MoreThe more data an organization can collect, analyze and interpret the fastest wins – period. However, many organizations are not selective about the types of data they squeeze through these processes. One study found that 73 percent of data collected by organizations… [...]
Read MoreIn our example, you have an InfiniBand network down on the blue path. There are redundant InfiniBand host channel adapters, cables, InfiniBand switch ports, and storage controllers. As you use this technique you are looking to answer the question, “does the problem… [...]
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