Knowledge Based Retrieval Scheme from Big Data for Aviation Industry

Big-data middle layer architecture is defined to perform the query analysis and the evaluation of the Big Data. This scheme is implemented on dynamic generated data section. The concept of Big Data concerns with a bulk of data presented in large volume with complicated architecture and with increasing data set. The data for such system can be taken from multiple sources and sometimes from independent sources. With the development of new cloud environment, centralized system, the use of Big Data is easily available to the end users so the criticality there exists in terms of fast retrieval of data from the system. To perform the analytical information retrieval from such data system there is the requirement of data driven model. Middle layer model is been presented to derive the valuable and predictive information from Big Data. The presented model will store the all aspects of data set in the form of Meta data so that the user query will be performed on the selective data set instead of whole data set. The association rule will be implemented on aviation data set. Use the java swing as the front end and will use the oracle as the backend.