Why Big Data Needs Parallelism

Why Big Data Needs Parallelism
Big Data is defined as data sets that are so large or complex that they don't fit into memory and traditional data processing applications struggles to deal with them. David Bolton explains how without parallelism, Big Data would be a lot harder to achieve. Find out more and tell us what you think in the comments section on our story page.