Large or Big Data  is terabytes of complicated and interdependent data that it difficult to process using simple analytical tools for database management or traditional data processing solutions. The challenges include collection, normalizing, right sizing hardware for storage, extraction, transferring, loading and visualization to make meaning out of it.

The trend to larger sets of data is due to availability of cheaper storage and the supplementary information derivable from investigation of a particular large set of interrelated data, as equalled to separate less significant smaller sets which total upto the same as a Large or Big Data, allowing associations to be found. Using the right associative tool for analysis, companies can get data such as trends, analysis, profitability, demographic choices, costs and other critical information on time for make correct business decisions.

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