Abstract
The use of big data has sharply increased in recent years. As indicated by IBM, about 2.5 quintillion bytes of information are made each day. In future these amounts are increase exponentially. This data has been a boon for business means if we extract knowledge from massive data and use for the prediction of business decisions then its beneficial for both companies and their customers. Massive datasets volume is big, velocity is high and variety is diverse. These datasets are very difficult to handle using traditional techniques. So Data Analytics is essential to analyze the data. For better decision making the process of inspecting, refining, transforming, and modeling data is required which discover valuable information. This process is Data Analytics process. This paper focuses on some of the different analytics methods and tools.
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