ABSTRACT

Imagine that the data coming fast and furious from many sources is the foundation of your big data strategy. This data is saturated with valuable elements that you’re probably not using. Large amount of data will be coming from plenty of resources is the beginning of big data policy. This data is sudden with valuable elements that probably not using often.It is mainly used for analysis and transforming the datasets.It allows to access unstructured format to the distributed file system across thousnad’s of datasets. Many applications and companies assist to filter and convert the huge number of elements into useful groups of details that can examine those subgroups to produce latest and, more useful details for decision making. Now-a-days big data is all around us including smart phones with its application, websites and companies produce a huge amount of data for analysis and making a critical decision. In spite of current solution that offered for big data, still, it faces many challenges and issues. We focus on discussing the important challenges and issues in big data and how it would be reflect decision making. Many issues, challenges must be taken into consideration for dealing with big data. We explained what the big data is and what are the important challenges and their related issues in big data, starting from capturing the generated data, storing it and analyzing it to be used for specific applications. We also focus how to use the result of analyzed data in specific applications.