PRO+ Premium Content/E-Handbooks

Thank you for joining!
Access your Pro+ Content below.
August 2013

Buyer’s checklist on storage for big data applications

Sponsored by SearchStorage.com

The attributes of big data applications are often described as the four Vs: volume, velocity, variety and variability. Taken singly, any one of those traits would pose a serious challenge to traditional storage systems; when combined, they force a rethinking of the very storage architectures we rely on. Processing thousands, or millions, of small files comprising structured or unstructured data from disparate sources would strain a typical NFS/CIFS-based file storage system, but new techniques such as object storage and distributed architectures can cut the task down to size, literally breaking it into more digestible chunks that can be processed in parallel. This buyer’s checklist describes the key capabilities and features a storage system will need to handle big data analytics. The goal is, of course, for the four Vs to add up to a fifth: value.

Table Of Contents

  • Storage for big data applications
  • Big data storage architectures
  • IF-THEN decisions for big data storage

 

SearchSolidStateStorage

  • Flash technologies remain hot in 2016, experts predict

    Experts predict solid-state technology will remain hot in 2016, leading to the demise of high-speed hard disk drives, as ...

  • Tintri VMstore T5000

    Like all of its VM-aware storage systems, Tintri’s first all-flash array -- the Tintri VMstore T5000 -- allows admins to bypass ...

  • SolidFire SF9605

    The high-capacity SolidFire SF9605 uses SolidFire’s Element OS 8 (Oxygen) to deliver new enterprise features such as synchronous ...

SearchVirtualStorage

SearchCloudStorage

SearchDisasterRecovery

SearchDataBackup

-ADS BY GOOGLE

Close