{'fraction_non_alphanumeric': 0.009790209790209791, 'fraction_numerical': 0.0, 'mean_word_length': 4.343283582089552, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
An effective model for big data analytics

As the amount of data is increasing with the enormous amount we have entered into a new era of data and the term coined for this is `Big Data'. From the knowledge point of view this huge amount of data is of great importance and it requires super large computing powers to analyze process and derive meaningful conclusions. The term big data is applicable to all the information that can no longer be handled using traditional means. It is interesting to see this challenge in terms of big data being faced by the organizations today. In this paper we have focused on various dimensions of Big Data and we have proposed a model for the management and analysis of Big Data.