A Review: Oracle Big Data Aplliance

Vivek D. Honule, Mrunali G. Bukkawar


Big data, which refers to the data sets that are too big to be handled using the existing database management tools, are emerging in many
important applications, such as Internet search, business informatics, social networks, social media, genomics, and meteorology. Big data presents a
grand challenge for database and data analytics research. The challenges include capture, curation, storage, search, sharing, analysis, and
visualization. Big data usually includes data sets with sizes beyond the ability of commonly-used software tools to capture, curate, manage, and
process the data within a tolerable elapsed time. Big data sizes are a constantly moving target, as of 2012 ranging from a few dozen terabytes to
many petabytes of data in a single data set. Big data is difficult to work with using most relational database management systems and desktop
statistics and visualization packages, requiring instead "massively parallel software running on tens, hundreds, or even thousands of servers".


Keywords: Big Data, Data analytics, terabyte, petabyte, data set, server, social network, social media.

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DOI: https://doi.org/10.26483/ijarcs.v4i7.1753


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