Linux Clusters Driving the Big Data Revolution
Big data is frequently discussed in data centers across the country. Whenever IT professionals are talking about it, the topic of Linux clusters cannot be far off. In recent years, big data is the term that has come to represent extremely large sets of data. In the past, the technology to capture and analyze this often fast-moving data did not exist; therefore the data was discarded or ignored.
Now, with technologies like Hadoop and NoSQL databases, unstructured data can be analyzed to identify trends and patterns, giving corporate decision makers a strategic business advantage. However, big data analytics would not be possible if it were not for high performance computing (HPC), and more often than not, these HPC systems are powered by Linux clusters.
Benefits of Linux Clusters
Linux is the operating system of choice when most organizations set up HPC clusters for a number of reasons. It has been designed for ease of scalability and interoperability between different architectures and networks. The Linux OS is also highly stable, robust, and mature. Its open source design makes it very affordable and popular with a large, worldwide community of users, developers, and engineers.
Coupled with Rocks clustering software, which is also open source, Linux clusters can be easily deployed, managed, and scaled with very little technical expertise. As a matter of fact, Rocks was created for the data center that needed the technology but did not have the resources or expertise required to deploy such a system.
Technological Needs of Big Data Systems
Big data has three defining properties known as the 3Vs, which stands for volume, variety and velocity. The ballooning volume of data, well into the petabyte range for some, is not the only factor that enterprise systems have to deal with today. Variety, referring to the mixed types of semi-structured and unstructured data, is a challenge for the traditional relational database. Also velocity, referring to the speed at which today’s business data is created and captured, has reached unprecedented levels.
Specialized hardware and software has had to be developed in order to keep up with the enormous demands placed on the modern data center. This is why Linux clusters are so popular with the IT community. A big data solution put in place for any enterprise is only as good as its supporting systems, and Linux clusters are seen as the best value for the cost.
Cost and Implementation of a Linux Solution
Low cost and ease of implementation have gone a long way to make Linux clusters a solid choice for organizations of all sizes. The open source, cost-effective quality of this solution has other advantages as well. It allows small- to mid-sized corporations to affordably implement big data solutions on cheaper commodity hardware, level the playing field, and effectively compete with their larger counterparts. With all these advantages, can your organization afford not to consider such a system?
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