BIG DATA ANALYTICS: WHAT IT IS AND WHAT IT ISN’T, CHARACTERISTICS, CLASSIFICATION, CHALLENGES AND IMPORTANCE

Nowadays, most of the human being on the earth are consuming and producing the data. Everyday, we are generating voluminous and very diversified data. Process of investigative these huge amounts of datasets, normally technocrats are using the term Big data analytics. Big data analytics is used to find unseen patterns, decode unidentified connection, understand the motivation behind current tendencies and identify the client preferences and additional valuable commercial information. Big Data analytical help us to take more effective and better decision related to current market, better client service and satisfaction. Big data analytics is technology enabled analytics, there are many visualization tools are available in the market from many leading vendors like SAS, IBM, R Analytics etc. Big data is to manage huge amount of diversified varieties of structured, unstructured or semi-structured data which should be process fast. Many people having confusion about what big data analytics is and what big data analytics is not. Scale, Security, Consistency, Skilled man power and many more are the challenges in Big Data. Big data analytics is important because it help the business, commercial or any organization to take the better decision. For any decision making there is a journey from Collecting data, Organizing, Summarizing, Analyzing, Synthesizing and then at last decision making. Here, in this research paper we covered what are the different characteristics of Big data analytics, how we can identify what big data analytics is, what are the different challenges and why big data analytics is important in today's world.