Linux Is the Best OS for Big Data Apps: 10 Reasons Why

By Darryl K. Taft  |  Posted 2013-09-03

As the hype and competition for big data analysis continues to grow, today's data scientist has a vast array of tools and technologies at their disposal. Many of these tools have a largely unknown commonality; they're powered by open-source solutions and communities. Along with the Hadoop community, big data solution providers such as SAP HANA, Hortonworks, WANdisco Cloudera, Intel, InterSystems and Teradata use Linux as the underlying platform of their big data solutions. Why should a data scientist care? Each scientist has highly specialized needs that demand an open and powerful environment. Big data analysis needs computing that's scalable, flexible and reliable—at a cost that won't impact IT budgets immensely. It's a familiar combination that made Linux the leader in high-performance computing and high availability years ago. In addition to 94 percent of the Top 500 supercomputers in the world, both the world's fastest (Titan) and most famous (IBM Watson) supercomputers run on Linux. With the help of SUSE, eWEEK lays out 10 reasons Linux should be the operating system of choice for big data environments.


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