The Different Tools and Technique to Handle Challenges in Big Data

The big data are data in large size and which cannot be maintained in terms of bytes. Know a day's big data is so popular that almost every business is depends on data. The data can arise in various forms such as structured, unstructured and semi structured. The different sources of big data generations are through social media such as face book, Google forums, and search engines. These data will be used by different enterprises to make their decision making. Hence big data analysis is a big challenge because data is time variant. This paper presents different techniques used to process big data and various challenges faced by analysts while making decision making. This paper also gives description of various frameworks available to process a big data. The scope of this paper is to find best possible technique to process big data.