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Hadoop helping smaller-budget firms get involved with big data
One of the most common beliefs about the big data industry is that small and mid-sized firms will be unable to see effective results from the technology because they do not have the resources to manage the tools.
However, this is a misconception as, with the right tools such as Hadoop, organizations of any size can deploy solutions that enable them to take better control over their data gathering and analysis activities and derive real insight to improve their business.
Juergen Urbanski, vice-president of architectures and emerging technologies at T-Systems, the enterprise arm of Deutsche Telekom, stated in an article for Wired that his firm's experiences have shown that using Hadoop can provide up to a tenfold price performance improvement compared with some of the advanced big data analytics used by some of the world's largest companies.
"Using a Hadoop solution, though, companies of any size can quickly build an inexpensive landing zone for all their data that scales out as the data grows," he stated. A budget of $50,000, for example, should be enough to experiment with the technology, while an investment of a few hundred thousand dollars is usually enough for a full-scale production solution.
However, cost concerns is not the only barrier to big data deployments among firms with limited resources. Another frequently encountered myth identified by Mr Urbanski is that they cannot get involved with big data because they do not have data scientists.
While these professionals can bring great value to companies, the expert noted that these personnel are rare and highly coveted and organizations that do not get involved because of a lack of this expertise are looking at the argument in the wrong way.
He said the cheap data processing and storage offered by tools such as Hadoop are "low hanging fruit" for big data adoption and only once a firm has started to reap the rewards of this should it be thinking about expanding its operations by getting data scientists to ask more sophisticated questions.
Mr Urbanski said: "With the advent of Hadoop 2.0, there is no excuse for the average enterprise to delay the journey of turning the wealth of information surrounding their business into additional profit."