Introduction
Big data is opening up new opportunities for enterprises to extract insight from huge volumes of data in real time and across multiple relational and nonrelational data types. The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures than the traditional monolithic and hugely expensive options that exist currently.
The architectures for realizing big data solutions are composed of heterogeneous infrastructures, databases, and visualization and analytics tools. Selecting the right architecture is the key to harnessing the power of big data. However, heterogeneity brings with it multiple options for solving the same problem, as well as the need to evaluate trade-offs ...
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