Premium Content

Access "External storage might make sense for Hadoop"

Mike Matchett Published: 30 Jan 2014

Using Hadoop to drive big data analytics doesn't necessarily mean building clusters of distributed storage -- good old external storage might be a better choice. The original architectural design for Hadoop made use of relatively cheap commodity servers and their local storage in a scale-out fashion. Hadoop's original goal was to enable cost-effective exploitation of data that was previously not viable. We've all heard about big data volume, variety, velocity and a dozen other "v" words used to describe these previously hard-to-handle data sets. Given such a broad target by definition, most businesses can point to some kind of big data they'd like to exploit. Big data is growing bigger every day and storage vendors with their relatively expensive SAN and network-attached storage (NAS) systems are starting to work themselves into the big data party. They can't simply leave all that data to server vendors filling boxes with commodity disk drives. Even if Hadoop adoption is just in its early stages, the competition and confusing marketing noise is ratcheting up... Access >>>

Access TechTarget
Premium Content for Free.

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy

What's Inside

Features

More Premium Content Accessible For Free

  • Backing up virtual machines is easier than ever
    storage_1014.png
    E-Zine

    One of the toughest things about supporting virtual servers was ensuring their data was protected. When traditional backup tools struggled with ...

  • The state of flash storage technology
    storage_0914.png
    E-Zine

    In a relatively short time, solid-state storage has made an indelible mark on storage systems and data center environments. Today, few arrays ship...

  • Big data storage challenges: Speed, capacity and HDFS integration
    big_data_hadoop.png
    E-Handbook

    Big data infrastructure and analytics are some of the hottest technology topics today, and it can sometimes seem impossible to dissect and digest all...