Big Data Application Architecture

Abstract

Enterprises and their customers have become very diverse and complex with the digitalization of business. Managing the information captured from these customers and markets to gain a competitive advantage has become a very expensive proposition when using the traditional data analytics methods, which are based on structured relational databases. This dilemma applies not only to businesses, but to research organizations, governments, and educational institutions that need less expensive computing and storage power to analyze complex scenarios and models involving images, video, and other data, as well as textual data. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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