Big data challenges & opportunities for development using Hadoop 2.0 platform
Hegazi, Abdel Rahman Farag (2014) Big data challenges & opportunities for development using Hadoop 2.0 platform. [Dissertation (University of Nottingham only)]
Today data analytics has become one of the fast growing research topics in the computation field, thanks to the technological advancements in the past few years that lead to this deluge of data era. Consequently; processing such large volumes of data has become a very complicated job as the data keeps growing continuously with enormous rates. Unfortunately, the traditional data analytics systems cannot process these large volumes of data due to the difficulty of managing the systems resources on these large scaled systems. Enhancing the overall system performance is also another issue as performance keeps degrading while the queue of the tasks waiting to be processed gets longer. The term “bigdata” was coined to describe this trend of fast growing data-sets. These obstacles add extra complex layers to the underlying platforms to perform the data acquisition, transmission, storage management, and these large-scale data processing mechanisms.
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