Efficient Mining for Hadoop process with big data

Savita Suryavanshi

Big data concern large-volume, complex, growing data sets that are too big. It is difficult to Big Data Mining with our current methodologies or data mining software tools, they are emerging in many important applications, such as Internet search, business informatics, and social networks, social media, genomics, and meteorology, Big Data mining grand challenge to identify the datasets and capability of extracting useful information from large datasets or streams of data The unification of multiple datasets from disparate sources in combination with advanced analytics techniques and technologies will advance problem solving capabilities, and in turn will improve the ability of predictive analysts to reveal insights that can effectively support decision making. The analysis of big data sources can be used to identify cost saving and opportunities to increase efficiency, which will directly contribute to an improvement in productivity. This can in turn help to encourage further innovations and prediction.