The Best Choice For Big Data

Just 12 months ago, even the largest organisations lacked the infrastructure, tools and skills to turn large datasets into business insight. Today, although, the world has changed. A combination of low-cost, commodity hardware and great open-source software are lowering the Big Data bar for organisations of all types and sizes. Put simply, open-source solutions are allowing organisations to spin up hundreds of servers to support Big Data services in seconds, and pay only for the resources they use.

The infrastructure that supports Big Data operations must be flexible and easy to deploy. In fixed and final form, it's important to have software that automates the process of installing instances on 'bare-metal' servers and allow computing resources to be dynamically re-purposed to handle different workloads based on changing business needs.

There are license-free operating systems that are come already certified to run on low-cost, commoditised hardware in the datacentre. This is a key benefit for Big Data, which can require significant computing resources.

Open-source research is helping organisations of all types and sizes convert massive datasets into meaningful business intelligence. During proprietary systems are expensive to deploy across large, distributed, Big Data environments, open-source software is far less expensive. What's more, it supports real-time scaling of Big Data environments, with no increase in licensing costs.