Processing Real World Datasets using Big Data Hadoop Tools

631-635Today’s digital world computations are extremely difficult and always demands essential requirements to significantly process and store an enormous size of datasets. Therefore, this is mostly structured, semi-structured and unstructured generated data with more velocity at beyond the limits and double day by day from a wide variety of applications. In the last decade, many organizations have been facing major problems in handling and processing massive chunks of data, which could not be processed efficiently due to the lack of enhancements on existing technologies. This paper, introduce advanced data processing tools to solve the extreme problems as efficiently by using the most recent and world’s primary powerful Map-Reduce framework, but it has few data processing issues. Therefore, recently Apache Spark fastest tool has introduced to overcome the limitations of Map Reduce