Distributed computing for big data

Distributed computing is not required for all computing solutions. Consider that the business doesn't have any time constraints in system processing and an asynchronous remote process can do the job efficiently in the expected time of processing. Then, why should the business invest in having either a more competent resource or a distributed environment to bring performance improvements in such a process?

Over the past few years, organizations are looking at reducing costs and are investing in critical and essential business needs. This means that, if there is a real need for processing a complex data analysis and the organization has a number of additional resources available, it can make use of distributed computing wherein each computing resource, with its own memory, can process a bit of the complex analysis and contribute to its completion.

Not only that; instead of having a single huge computing resource, if we utilize multiple commodity hardware to...