ETL - A Solution to Challenging Issues in Big Data Analytics

Abstract

                Now a days, tremendous data generation is going on across the globe. Most of the social networking sites are rich source of data. Other ecommerce sites, government as well as private sectors, healthcare organizations, cloud networks, different servers etc are contributing towards collections of huge volume of data. The collected data may be in structured or unstructured formats. Various formats of data are also the adding features in it. While processing, the complete process, it is pipelined in such a way that, obtained final resultant data can give some important and meaningful conclusions to work on it. Some analytical results are again useful for decision making. But in many cases, the obtained results may vary in some values, graphs and figures. This happens due to use of some unrealistic tools available for the processing of big data. In this paper, we suggested some proper ETL tools and solutions for the processing of big data, which may results into getting suitable analytics and conclusions from the data.